diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..b919c25 --- /dev/null +++ b/.gitignore @@ -0,0 +1,14 @@ +.eggs/ +dist/ +*.pyc +__pycache__/ +*.py[cod] +*$py.class +__tmp/* +*.pyi +.mypycache +.ruff_cache +node_modules +backend/**/templates/ +demo/MobileNetSSD_deploy.caffemodel +demo/MobileNetSSD_deploy.prototxt.txt \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..6bbb0e3 --- /dev/null +++ b/README.md @@ -0,0 +1,469 @@ +--- +tags: [gradio-custom-component, Video, streaming, webrtc, realtime] +title: gradio_webrtc +short_description: Stream images in realtime with webrtc +colorFrom: blue +colorTo: yellow +sdk: gradio +pinned: false +app_file: space.py +--- + +# `gradio_webrtc` +Static Badge + +Stream images in realtime with webrtc + +## Installation + +```bash +pip install gradio_webrtc +``` + +## Usage + +```python +import gradio as gr +import cv2 +import numpy as np +from gradio_webrtc import WebRTC +from pathlib import Path + +CLASSES = [ + "background", + "aeroplane", + "bicycle", + "bird", + "boat", + "bottle", + "bus", + "car", + "cat", + "chair", + "cow", + "diningtable", + "dog", + "horse", + "motorbike", + "person", + "pottedplant", + "sheep", + "sofa", + "train", + "tvmonitor", +] +COLORS = np.random.uniform(0, 255, size=(len(CLASSES), 3)) + +directory = Path(__file__).parent + +MODEL = str((directory / "MobileNetSSD_deploy.caffemodel").resolve()) +PROTOTXT = str((directory / "MobileNetSSD_deploy.prototxt.txt").resolve()) +net = cv2.dnn.readNetFromCaffe(PROTOTXT, MODEL) + + +def detection(image, conf_threshold=0.3): + + blob = cv2.dnn.blobFromImage( + cv2.resize(image, (300, 300)), 0.007843, (300, 300), 127.5 + ) + net.setInput(blob) + + detections = net.forward() + image = cv2.resize(image, (500, 500)) + (h, w) = image.shape[:2] + labels = [] + for i in np.arange(0, detections.shape[2]): + confidence = detections[0, 0, i, 2] + + if confidence > conf_threshold: + # extract the index of the class label from the `detections`, + # then compute the (x, y)-coordinates of the bounding box for + # the object + idx = int(detections[0, 0, i, 1]) + box = detections[0, 0, i, 3:7] * np.array([w, h, w, h]) + (startX, startY, endX, endY) = box.astype("int") + + # display the prediction + label = f"{CLASSES[idx]}: {round(confidence * 100, 2)}%" + labels.append(label) + cv2.rectangle(image, (startX, startY), (endX, endY), COLORS[idx], 2) + y = startY - 15 if startY - 15 > 15 else startY + 15 + cv2.putText( + image, label, (startX, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, COLORS[idx], 2 + ) + return image + + +css=""".my-group {max-width: 600px !important; max-height: 600 !important;} + .my-column {display: flex !important; justify-content: center !important; align-items: center !important};""" + + +with gr.Blocks(css=css) as demo: + gr.HTML( + """ +

+ YOLOv10 Webcam Stream +

+ """) + gr.HTML( + """ +

+ arXiv | github +

+ """) + with gr.Column(elem_classes=["my-column"]): + with gr.Group(elem_classes=["my-group"]): + image = WebRTC(label="Strean") + conf_threshold = gr.Slider( + label="Confidence Threshold", + minimum=0.0, + maximum=1.0, + step=0.05, + value=0.30, + ) + + image.webrtc_stream( + fn=detection, + inputs=[image], + stream_every=0.05, + time_limit=30 + ) + +if __name__ == '__main__': + demo.launch() + +``` + +## `WebRTC` + +### Initialization + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
nametypedefaultdescription
value + +```python +str + | Path + | tuple[str | Path, str | Path | None] + | Callable + | None +``` + +Nonepath or URL for the default value that WebRTC component is going to take. Can also be a tuple consisting of (video filepath, subtitle filepath). If a subtitle file is provided, it should be of type .srt or .vtt. Or can be callable, in which case the function will be called whenever the app loads to set the initial value of the component.
height + +```python +int | str | None +``` + +NoneThe height of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. This has no effect on the preprocessed video file, but will affect the displayed video.
width + +```python +int | str | None +``` + +NoneThe width of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. This has no effect on the preprocessed video file, but will affect the displayed video.
label + +```python +str | None +``` + +Nonethe label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.
every + +```python +Timer | float | None +``` + +Nonecontinously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.
inputs + +```python +Component | Sequence[Component] | set[Component] | None +``` + +Nonecomponents that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.
show_label + +```python +bool | None +``` + +Noneif True, will display label.
container + +```python +bool +``` + +Trueif True, will place the component in a container - providing some extra padding around the border.
scale + +```python +int | None +``` + +Nonerelative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.
min_width + +```python +int +``` + +160minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
interactive + +```python +bool | None +``` + +Noneif True, will allow users to upload a video; if False, can only be used to display videos. If not provided, this is inferred based on whether the component is used as an input or output.
visible + +```python +bool +``` + +Trueif False, component will be hidden.
elem_id + +```python +str | None +``` + +Nonean optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
elem_classes + +```python +list[str] | str | None +``` + +Nonean optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
render + +```python +bool +``` + +Trueif False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.
key + +```python +int | str | None +``` + +Noneif assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.
mirror_webcam + +```python +bool +``` + +Trueif True webcam will be mirrored. Default is True.
show_share_button + +```python +bool | None +``` + +Noneif True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.
show_download_button + +```python +bool | None +``` + +Noneif True, will show a download icon in the corner of the component that allows user to download the output. If False, icon does not appear. By default, it will be True for output components and False for input components.
min_length + +```python +int | None +``` + +Nonethe minimum length of video (in seconds) that the user can pass into the prediction function. If None, there is no minimum length.
max_length + +```python +int | None +``` + +Nonethe maximum length of video (in seconds) that the user can pass into the prediction function. If None, there is no maximum length.
streaming + +```python +bool +``` + +Falsewhen used set as an output, takes video chunks yielded from the backend and combines them into one streaming video output. Each chunk should be a video file with a .ts extension using an h.264 encoding. Mp4 files are also accepted but they will be converted to h.264 encoding.
+ + +### Events + +| name | description | +|:-----|:------------| +| `tick` | | + + + +### User function + +The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both). + +- When used as an Input, the component only impacts the input signature of the user function. +- When used as an output, the component only impacts the return signature of the user function. + +The code snippet below is accurate in cases where the component is used as both an input and an output. + +- **As output:** Is passed, passes the uploaded video as a `str` filepath or URL whose extension can be modified by `format`. +- **As input:** Should return, expects a {str} or {pathlib.Path} filepath to a video which is displayed, or a {Tuple[str | pathlib.Path, str | pathlib.Path | None]} where the first element is a filepath to a video and the second element is an optional filepath to a subtitle file. + + ```python + def predict( + value: str + ) -> typing.Any: + return value + ``` + diff --git a/backend/gradio_webrtc/__init__.py b/backend/gradio_webrtc/__init__.py new file mode 100644 index 0000000..6783709 --- /dev/null +++ b/backend/gradio_webrtc/__init__.py @@ -0,0 +1,4 @@ + +from .webrtc import WebRTC + +__all__ = ['WebRTC'] diff --git a/backend/gradio_webrtc/webrtc.py b/backend/gradio_webrtc/webrtc.py new file mode 100644 index 0000000..eb2c60b --- /dev/null +++ b/backend/gradio_webrtc/webrtc.py @@ -0,0 +1,315 @@ +"""gr.Video() component.""" + +from __future__ import annotations + +from collections.abc import Callable, Sequence +from pathlib import Path +from typing import TYPE_CHECKING, Any, Literal, Optional, cast + + +from aiortc import RTCPeerConnection, RTCSessionDescription +from aiortc.contrib.media import MediaRelay +from aiortc import VideoStreamTrack +from aiortc.mediastreams import MediaStreamError +from aiortc.contrib.media import VideoFrame # type: ignore +from gradio_client import handle_file +import numpy as np + + +from gradio import utils, wasm_utils +from gradio.components.base import Component, server + +if TYPE_CHECKING: + from gradio.components import Timer + from gradio.blocks import Block + + +if wasm_utils.IS_WASM: + raise ValueError("Not supported in gradio-lite!") + + + +class VideoCallback(VideoStreamTrack): + """ + This works for streaming input and output + """ + + kind = "video" + + def __init__( + self, + track, + event_handler: Callable, + ) -> None: + super().__init__() # don't forget this! + self.track = track + self.event_handler = event_handler + self.latest_args: str | list[Any] = "not_set" + + def add_frame_to_payload(self, args: list[Any], frame: np.ndarray | None) -> list[Any]: + new_args = [] + for val in args: + if isinstance(val, str) and val == "__webrtc_value__": + new_args.append(frame) + else: + new_args.append(val) + return new_args + + + def array_to_frame(self, array: np.ndarray) -> VideoFrame: + return VideoFrame.from_ndarray(array, format="bgr24") + + async def recv(self): + try: + + try: + frame = await self.track.recv() + except MediaStreamError: + return + frame_array = frame.to_ndarray(format="bgr24") + + if self.latest_args == "not_set": + print("args not set") + return frame + + + args = self.add_frame_to_payload(self.latest_args, frame_array) + + array = self.event_handler(*args) + + new_frame = self.array_to_frame(array) + if frame: + new_frame.pts = frame.pts + new_frame.time_base = frame.time_base + else: + pts, time_base = await self.next_timestamp() + new_frame.pts = pts + new_frame.time_base = time_base + + return new_frame + except Exception as e: + print(e) + import traceback + + traceback.print_exc() + + +class WebRTC(Component): + """ + Creates a video component that can be used to upload/record videos (as an input) or display videos (as an output). + For the video to be playable in the browser it must have a compatible container and codec combination. Allowed + combinations are .mp4 with h264 codec, .ogg with theora codec, and .webm with vp9 codec. If the component detects + that the output video would not be playable in the browser it will attempt to convert it to a playable mp4 video. + If the conversion fails, the original video is returned. + + Demos: video_identity_2 + """ + + pcs: set[RTCPeerConnection] = set([]) + relay = MediaRelay() + connections: dict[str, VideoCallback] = {} + + EVENTS = [ + "tick" + ] + + def __init__( + self, + value: str + | Path + | tuple[str | Path, str | Path | None] + | Callable + | None = None, + *, + height: int | str | None = None, + width: int | str | None = None, + label: str | None = None, + every: Timer | float | None = None, + inputs: Component | Sequence[Component] | set[Component] | None = None, + show_label: bool | None = None, + container: bool = True, + scale: int | None = None, + min_width: int = 160, + interactive: bool | None = None, + visible: bool = True, + elem_id: str | None = None, + elem_classes: list[str] | str | None = None, + render: bool = True, + key: int | str | None = None, + mirror_webcam: bool = True, + show_share_button: bool | None = None, + show_download_button: bool | None = None, + min_length: int | None = None, + max_length: int | None = None, + streaming: bool = False, + ): + """ + Parameters: + value: path or URL for the default value that WebRTC component is going to take. Can also be a tuple consisting of (video filepath, subtitle filepath). If a subtitle file is provided, it should be of type .srt or .vtt. Or can be callable, in which case the function will be called whenever the app loads to set the initial value of the component. + format: the file extension with which to save video, such as 'avi' or 'mp4'. This parameter applies both when this component is used as an input to determine which file format to convert user-provided video to, and when this component is used as an output to determine the format of video returned to the user. If None, no file format conversion is done and the video is kept as is. Use 'mp4' to ensure browser playability. + height: The height of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. This has no effect on the preprocessed video file, but will affect the displayed video. + width: The width of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. This has no effect on the preprocessed video file, but will affect the displayed video. + label: the label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to. + every: continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer. + inputs: components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change. + show_label: if True, will display label. + container: if True, will place the component in a container - providing some extra padding around the border. + scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True. + min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first. + interactive: if True, will allow users to upload a video; if False, can only be used to display videos. If not provided, this is inferred based on whether the component is used as an input or output. + visible: if False, component will be hidden. + elem_id: an optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles. + elem_classes: an optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles. + render: if False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later. + key: if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved. + mirror_webcam: if True webcam will be mirrored. Default is True. + include_audio: whether the component should record/retain the audio track for a video. By default, audio is excluded for webcam videos and included for uploaded videos. + autoplay: whether to automatically play the video when the component is used as an output. Note: browsers will not autoplay video files if the user has not interacted with the page yet. + show_share_button: if True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise. + show_download_button: if True, will show a download icon in the corner of the component that allows user to download the output. If False, icon does not appear. By default, it will be True for output components and False for input components. + min_length: the minimum length of video (in seconds) that the user can pass into the prediction function. If None, there is no minimum length. + max_length: the maximum length of video (in seconds) that the user can pass into the prediction function. If None, there is no maximum length. + loop: if True, the video will loop when it reaches the end and continue playing from the beginning. + streaming: when used set as an output, takes video chunks yielded from the backend and combines them into one streaming video output. Each chunk should be a video file with a .ts extension using an h.264 encoding. Mp4 files are also accepted but they will be converted to h.264 encoding. + watermark: an image file to be included as a watermark on the video. The image is not scaled and is displayed on the bottom right of the video. Valid formats for the image are: jpeg, png. + """ + self.height = height + self.width = width + self.mirror_webcam = mirror_webcam + self.concurrency_limit = 1 + self.show_share_button = ( + (utils.get_space() is not None) + if show_share_button is None + else show_share_button + ) + self.show_download_button = show_download_button + self.min_length = min_length + self.max_length = max_length + self.streaming = streaming + self.event_handler: Callable | None = None + super().__init__( + label=label, + every=every, + inputs=inputs, + show_label=show_label, + container=container, + scale=scale, + min_width=min_width, + interactive=interactive, + visible=visible, + elem_id=elem_id, + elem_classes=elem_classes, + render=render, + key=key, + value=value, + ) + + def preprocess(self, payload: str) -> str: + """ + Parameters: + payload: An instance of VideoData containing the video and subtitle files. + Returns: + Passes the uploaded video as a `str` filepath or URL whose extension can be modified by `format`. + """ + return payload + + + def postprocess(self, value: Any) -> str: + """ + Parameters: + value: Expects a {str} or {pathlib.Path} filepath to a video which is displayed, or a {Tuple[str | pathlib.Path, str | pathlib.Path | None]} where the first element is a filepath to a video and the second element is an optional filepath to a subtitle file. + Returns: + VideoData object containing the video and subtitle files. + """ + return "__webrtc_value__" + + def set_output(self, webrtc_id: str, *args): + if webrtc_id in self.connections: + self.connections[webrtc_id].latest_args = ["__webrtc_value__"] + list(args) + + def webrtc_stream( + self, + fn: Callable[..., Any] | None = None, + inputs: Block | Sequence[Block] | set[Block] | None = None, + js: str | None = None, + concurrency_limit: int | None | Literal["default"] = "default", + concurrency_id: str | None = None, + stream_every: float = 0.5, + time_limit: float | None = None): + + if inputs[0] != self: + raise ValueError("In the webrtc_stream event, the first input component must be the WebRTC component.") + + self.concurrency_limit = 1 if concurrency_limit in ["default", None] else concurrency_limit + self.event_handler = fn + return self.tick(self.set_output, + inputs=inputs, + outputs=None, + concurrency_id=concurrency_id, + concurrency_limit=None, + stream_every=stream_every, + time_limit=None, + js=js + ) + + @server + async def offer(self, body): + + if len(self.connections) >= self.concurrency_limit: + return {"status": "failed"} + + + offer = RTCSessionDescription(sdp=body['sdp'], type=body['type']) + + pc = RTCPeerConnection() + self.pcs.add(pc) + + @pc.on("iceconnectionstatechange") + async def on_iceconnectionstatechange(): + print(pc.iceConnectionState) + if pc.iceConnectionState == "failed": + await pc.close() + self.pcs.discard(pc) + + @pc.on("connectionstatechange") + async def on_connectionstatechange(): + if pc.connectionState in ["failed", "closed"]: + await pc.close() + self.connections.pop(body['webrtc_id'], None) + self.pcs.discard(pc) + + @pc.on("track") + def on_track(track): + cb = VideoCallback( + self.relay.subscribe(track), + event_handler=cast(Callable, self.event_handler) + ) + self.connections[body['webrtc_id']] = cb + pc.addTrack(cb) + + # handle offer + await pc.setRemoteDescription(offer) + + # send answer + answer = await pc.createAnswer() + await pc.setLocalDescription(answer) # type: ignore + + return { + "sdp": pc.localDescription.sdp, + "type": pc.localDescription.type, + } + + def example_payload(self) -> Any: + return { + "video": handle_file( + "https://github.com/gradio-app/gradio/raw/main/demo/video_component/files/world.mp4" + ), + } + + def example_value(self) -> Any: + return "https://github.com/gradio-app/gradio/raw/main/demo/video_component/files/world.mp4" + + + def api_info(self) -> Any: + return {"type": "number"} + diff --git a/demo/README.md b/demo/README.md new file mode 100644 index 0000000..16e1307 --- /dev/null +++ b/demo/README.md @@ -0,0 +1,44 @@ +--- +license: mit +tags: +- object-detection +- computer-vision +- yolov10 +datasets: +- detection-datasets/coco +sdk: gradio +sdk_version: 5.0.0b1 +--- + +### Model Description +[YOLOv10: Real-Time End-to-End Object Detection](https://arxiv.org/abs/2405.14458v1) + +- arXiv: https://arxiv.org/abs/2405.14458v1 +- github: https://github.com/THU-MIG/yolov10 + +### Installation +``` +pip install supervision git+https://github.com/THU-MIG/yolov10.git +``` + +### Yolov10 Inference +```python +from ultralytics import YOLOv10 +import supervision as sv +import cv2 + +IMAGE_PATH = 'dog.jpeg' + +model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}') +model.predict(IMAGE_PATH, show=True) +``` + +### BibTeX Entry and Citation Info + ``` +@article{wang2024yolov10, + title={YOLOv10: Real-Time End-to-End Object Detection}, + author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang}, + journal={arXiv preprint arXiv:2405.14458}, + year={2024} +} +``` \ No newline at end of file diff --git a/demo/__init__.py b/demo/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/demo/app.py b/demo/app.py new file mode 100644 index 0000000..5bef3fe --- /dev/null +++ b/demo/app.py @@ -0,0 +1,108 @@ +import gradio as gr +import cv2 +import numpy as np +from gradio_webrtc import WebRTC +from pathlib import Path + +CLASSES = [ + "background", + "aeroplane", + "bicycle", + "bird", + "boat", + "bottle", + "bus", + "car", + "cat", + "chair", + "cow", + "diningtable", + "dog", + "horse", + "motorbike", + "person", + "pottedplant", + "sheep", + "sofa", + "train", + "tvmonitor", +] +COLORS = np.random.uniform(0, 255, size=(len(CLASSES), 3)) + +directory = Path(__file__).parent + +MODEL = str((directory / "MobileNetSSD_deploy.caffemodel").resolve()) +PROTOTXT = str((directory / "MobileNetSSD_deploy.prototxt.txt").resolve()) +net = cv2.dnn.readNetFromCaffe(PROTOTXT, MODEL) + + +def detection(image, conf_threshold=0.3): + + blob = cv2.dnn.blobFromImage( + cv2.resize(image, (300, 300)), 0.007843, (300, 300), 127.5 + ) + net.setInput(blob) + + detections = net.forward() + image = cv2.resize(image, (500, 500)) + (h, w) = image.shape[:2] + labels = [] + for i in np.arange(0, detections.shape[2]): + confidence = detections[0, 0, i, 2] + + if confidence > conf_threshold: + # extract the index of the class label from the `detections`, + # then compute the (x, y)-coordinates of the bounding box for + # the object + idx = int(detections[0, 0, i, 1]) + box = detections[0, 0, i, 3:7] * np.array([w, h, w, h]) + (startX, startY, endX, endY) = box.astype("int") + + # display the prediction + label = f"{CLASSES[idx]}: {round(confidence * 100, 2)}%" + labels.append(label) + cv2.rectangle(image, (startX, startY), (endX, endY), COLORS[idx], 2) + y = startY - 15 if startY - 15 > 15 else startY + 15 + cv2.putText( + image, label, (startX, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, COLORS[idx], 2 + ) + return image + + +css=""".my-group {max-width: 600px !important; max-height: 600 !important;} + .my-column {display: flex !important; justify-content: center !important; align-items: center !important};""" + + +with gr.Blocks(css=css) as demo: + gr.HTML( + """ +

+ YOLOv10 Webcam Stream +

+ """) + gr.HTML( + """ +

+ arXiv | github +

+ """) + with gr.Column(elem_classes=["my-column"]): + with gr.Group(elem_classes=["my-group"]): + image = WebRTC(label="Strean") + conf_threshold = gr.Slider( + label="Confidence Threshold", + minimum=0.0, + maximum=1.0, + step=0.05, + value=0.30, + ) + + image.webrtc_stream( + fn=detection, + inputs=[image], + stream_every=0.05, + time_limit=30 + ) + +if __name__ == '__main__': + demo.launch() diff --git a/demo/css.css b/demo/css.css new file mode 100644 index 0000000..f7256be --- /dev/null +++ b/demo/css.css @@ -0,0 +1,157 @@ +html { + font-family: Inter; + font-size: 16px; + font-weight: 400; + line-height: 1.5; + -webkit-text-size-adjust: 100%; + background: #fff; + color: #323232; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; + text-rendering: optimizeLegibility; +} + +:root { + --space: 1; + --vspace: calc(var(--space) * 1rem); + --vspace-0: calc(3 * var(--space) * 1rem); + --vspace-1: calc(2 * var(--space) * 1rem); + --vspace-2: calc(1.5 * var(--space) * 1rem); + --vspace-3: calc(0.5 * var(--space) * 1rem); +} + +.app { + max-width: 748px !important; +} + +.prose p { + margin: var(--vspace) 0; + line-height: var(--vspace * 2); + font-size: 1rem; +} + +code { + font-family: "Inconsolata", sans-serif; + font-size: 16px; +} + +h1, +h1 code { + font-weight: 400; + line-height: calc(2.5 / var(--space) * var(--vspace)); +} + +h1 code { + background: none; + border: none; + letter-spacing: 0.05em; + padding-bottom: 5px; + position: relative; + padding: 0; +} + +h2 { + margin: var(--vspace-1) 0 var(--vspace-2) 0; + line-height: 1em; +} + +h3, +h3 code { + margin: var(--vspace-1) 0 var(--vspace-2) 0; + line-height: 1em; +} + +h4, +h5, +h6 { + margin: var(--vspace-3) 0 var(--vspace-3) 0; + line-height: var(--vspace); +} + +.bigtitle, +h1, +h1 code { + font-size: calc(8px * 4.5); + word-break: break-word; +} + +.title, +h2, +h2 code { + font-size: calc(8px * 3.375); + font-weight: lighter; + word-break: break-word; + border: none; + background: none; +} + +.subheading1, +h3, +h3 code { + font-size: calc(8px * 1.8); + font-weight: 600; + border: none; + background: none; + letter-spacing: 0.1em; + text-transform: uppercase; +} + +h2 code { + padding: 0; + position: relative; + letter-spacing: 0.05em; +} + +blockquote { + font-size: calc(8px * 1.1667); + font-style: italic; + line-height: calc(1.1667 * var(--vspace)); + margin: var(--vspace-2) var(--vspace-2); +} + +.subheading2, +h4 { + font-size: calc(8px * 1.4292); + text-transform: uppercase; + font-weight: 600; +} + +.subheading3, +h5 { + font-size: calc(8px * 1.2917); + line-height: calc(1.2917 * var(--vspace)); + + font-weight: lighter; + text-transform: uppercase; + letter-spacing: 0.15em; +} + +h6 { + font-size: calc(8px * 1.1667); + font-size: 1.1667em; + font-weight: normal; + font-style: italic; + font-family: "le-monde-livre-classic-byol", serif !important; + letter-spacing: 0px !important; +} + +#start .md > *:first-child { + margin-top: 0; +} + +h2 + h3 { + margin-top: 0; +} + +.md hr { + border: none; + border-top: 1px solid var(--block-border-color); + margin: var(--vspace-2) 0 var(--vspace-2) 0; +} +.prose ul { + margin: var(--vspace-2) 0 var(--vspace-1) 0; +} + +.gap { + gap: 0; +} diff --git a/demo/draw_boxes.py b/demo/draw_boxes.py new file mode 100644 index 0000000..9a0442e --- /dev/null +++ b/demo/draw_boxes.py @@ -0,0 +1,45 @@ +from PIL import ImageDraw, ImageFont # type: ignore +import colorsys + + +def get_color(label): + # Simple hash function to generate consistent colors for each label + hash_value = hash(label) + hue = (hash_value % 100) / 100.0 + saturation = 0.7 + value = 0.9 + rgb = colorsys.hsv_to_rgb(hue, saturation, value) + return tuple(int(x * 255) for x in rgb) + + +def draw_bounding_boxes(image, results: dict, model, threshold=0.3): + draw = ImageDraw.Draw(image) + font = ImageFont.load_default() + + for score, label_id, box in zip( + results["scores"], results["labels"], results["boxes"] + ): + if score > threshold: + label = model.config.id2label[label_id.item()] + box = [round(i, 2) for i in box.tolist()] + color = get_color(label) + + # Draw bounding box + draw.rectangle(box, outline=color, width=3) # type: ignore + + # Prepare text + text = f"{label}: {score:.2f}" + text_bbox = draw.textbbox((0, 0), text, font=font) + text_width = text_bbox[2] - text_bbox[0] + text_height = text_bbox[3] - text_bbox[1] + + # Draw text background + draw.rectangle( + [box[0], box[1] - text_height - 4, box[0] + text_width, box[1]], # type: ignore + fill=color, # type: ignore + ) + + # Draw text + draw.text((box[0], box[1] - text_height - 4), text, fill="white", font=font) + + return image diff --git a/demo/requirements.txt b/demo/requirements.txt new file mode 100644 index 0000000..2840c6b --- /dev/null +++ b/demo/requirements.txt @@ -0,0 +1,3 @@ +safetensors==0.4.3 +opencv-python +https://gradio-builds.s3.amazonaws.com/5.0-dev/e85cc9248cc33e187528f24f3b4415ca7b9e7134/take2/gradio-5.0.0b1-py3-none-any.whl \ No newline at end of file diff --git a/demo/space.py b/demo/space.py new file mode 100644 index 0000000..e62edcf --- /dev/null +++ b/demo/space.py @@ -0,0 +1,230 @@ + +import gradio as gr +from app import demo as app +import os + +_docs = {'WebRTC': {'description': 'Creates a video component that can be used to upload/record videos (as an input) or display videos (as an output).\nFor the video to be playable in the browser it must have a compatible container and codec combination. Allowed\ncombinations are .mp4 with h264 codec, .ogg with theora codec, and .webm with vp9 codec. If the component detects\nthat the output video would not be playable in the browser it will attempt to convert it to a playable mp4 video.\nIf the conversion fails, the original video is returned.\n', 'members': {'__init__': {'value': {'type': 'str\n | Path\n | tuple[str | Path, str | Path | None]\n | Callable\n | None', 'default': 'None', 'description': 'path or URL for the default value that WebRTC component is going to take. Can also be a tuple consisting of (video filepath, subtitle filepath). If a subtitle file is provided, it should be of type .srt or .vtt. Or can be callable, in which case the function will be called whenever the app loads to set the initial value of the component.'}, 'height': {'type': 'int | str | None', 'default': 'None', 'description': 'The height of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. This has no effect on the preprocessed video file, but will affect the displayed video.'}, 'width': {'type': 'int | str | None', 'default': 'None', 'description': 'The width of the component, specified in pixels if a number is passed, or in CSS units if a string is passed. This has no effect on the preprocessed video file, but will affect the displayed video.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'the label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.'}, 'every': {'type': 'Timer | float | None', 'default': 'None', 'description': 'continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.'}, 'inputs': {'type': 'Component | Sequence[Component] | set[Component] | None', 'default': 'None', 'description': 'components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.'}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'if True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': 'relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.'}, 'min_width': {'type': 'int', 'default': '160', 'description': 'minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.'}, 'interactive': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will allow users to upload a video; if False, can only be used to display videos. If not provided, this is inferred based on whether the component is used as an input or output.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'if False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': 'an optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': 'an optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'render': {'type': 'bool', 'default': 'True', 'description': 'if False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.'}, 'key': {'type': 'int | str | None', 'default': 'None', 'description': 'if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.'}, 'mirror_webcam': {'type': 'bool', 'default': 'True', 'description': 'if True webcam will be mirrored. Default is True.'}, 'show_share_button': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.'}, 'show_download_button': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will show a download icon in the corner of the component that allows user to download the output. If False, icon does not appear. By default, it will be True for output components and False for input components.'}, 'min_length': {'type': 'int | None', 'default': 'None', 'description': 'the minimum length of video (in seconds) that the user can pass into the prediction function. If None, there is no minimum length.'}, 'max_length': {'type': 'int | None', 'default': 'None', 'description': 'the maximum length of video (in seconds) that the user can pass into the prediction function. If None, there is no maximum length.'}, 'streaming': {'type': 'bool', 'default': 'False', 'description': 'when used set as an output, takes video chunks yielded from the backend and combines them into one streaming video output. Each chunk should be a video file with a .ts extension using an h.264 encoding. Mp4 files are also accepted but they will be converted to h.264 encoding.'}}, 'postprocess': {'value': {'type': 'typing.Any', 'description': 'Expects a {str} or {pathlib.Path} filepath to a video which is displayed, or a {Tuple[str | pathlib.Path, str | pathlib.Path | None]} where the first element is a filepath to a video and the second element is an optional filepath to a subtitle file.'}}, 'preprocess': {'return': {'type': 'str', 'description': 'Passes the uploaded video as a `str` filepath or URL whose extension can be modified by `format`.'}, 'value': None}}, 'events': {'tick': {'type': None, 'default': None, 'description': ''}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'WebRTC': []}}} + +abs_path = os.path.join(os.path.dirname(__file__), "css.css") + +with gr.Blocks( + css=abs_path, + theme=gr.themes.Default( + font_mono=[ + gr.themes.GoogleFont("Inconsolata"), + "monospace", + ], + ), +) as demo: + gr.Markdown( +""" +# `gradio_webrtc` + +
+Static Badge +
+ +Stream images in realtime with webrtc +""", elem_classes=["md-custom"], header_links=True) + app.render() + gr.Markdown( +""" +## Installation + +```bash +pip install gradio_webrtc +``` + +## Usage + +```python +import gradio as gr +import cv2 +import numpy as np +from gradio_webrtc import WebRTC +from pathlib import Path + +CLASSES = [ + "background", + "aeroplane", + "bicycle", + "bird", + "boat", + "bottle", + "bus", + "car", + "cat", + "chair", + "cow", + "diningtable", + "dog", + "horse", + "motorbike", + "person", + "pottedplant", + "sheep", + "sofa", + "train", + "tvmonitor", +] +COLORS = np.random.uniform(0, 255, size=(len(CLASSES), 3)) + +directory = Path(__file__).parent + +MODEL = str((directory / "MobileNetSSD_deploy.caffemodel").resolve()) +PROTOTXT = str((directory / "MobileNetSSD_deploy.prototxt.txt").resolve()) +net = cv2.dnn.readNetFromCaffe(PROTOTXT, MODEL) + + +def detection(image, conf_threshold=0.3): + + blob = cv2.dnn.blobFromImage( + cv2.resize(image, (300, 300)), 0.007843, (300, 300), 127.5 + ) + net.setInput(blob) + + detections = net.forward() + image = cv2.resize(image, (500, 500)) + (h, w) = image.shape[:2] + labels = [] + for i in np.arange(0, detections.shape[2]): + confidence = detections[0, 0, i, 2] + + if confidence > conf_threshold: + # extract the index of the class label from the `detections`, + # then compute the (x, y)-coordinates of the bounding box for + # the object + idx = int(detections[0, 0, i, 1]) + box = detections[0, 0, i, 3:7] * np.array([w, h, w, h]) + (startX, startY, endX, endY) = box.astype("int") + + # display the prediction + label = f"{CLASSES[idx]}: {round(confidence * 100, 2)}%" + labels.append(label) + cv2.rectangle(image, (startX, startY), (endX, endY), COLORS[idx], 2) + y = startY - 15 if startY - 15 > 15 else startY + 15 + cv2.putText( + image, label, (startX, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, COLORS[idx], 2 + ) + return image + + +css=\"\"\".my-group {max-width: 600px !important; max-height: 600 !important;} + .my-column {display: flex !important; justify-content: center !important; align-items: center !important};\"\"\" + + +with gr.Blocks(css=css) as demo: + gr.HTML( + \"\"\" +

+ YOLOv10 Webcam Stream +

+ \"\"\") + gr.HTML( + \"\"\" +

+ arXiv | github +

+ \"\"\") + with gr.Column(elem_classes=["my-column"]): + with gr.Group(elem_classes=["my-group"]): + image = WebRTC(label="Strean") + conf_threshold = gr.Slider( + label="Confidence Threshold", + minimum=0.0, + maximum=1.0, + step=0.05, + value=0.30, + ) + + image.webrtc_stream( + fn=detection, + inputs=[image], + stream_every=0.05, + time_limit=30 + ) + +if __name__ == '__main__': + demo.launch() + +``` +""", elem_classes=["md-custom"], header_links=True) + + + gr.Markdown(""" +## `WebRTC` + +### Initialization +""", elem_classes=["md-custom"], header_links=True) + + gr.ParamViewer(value=_docs["WebRTC"]["members"]["__init__"], linkify=[]) + + + gr.Markdown("### Events") + gr.ParamViewer(value=_docs["WebRTC"]["events"], linkify=['Event']) + + + + + gr.Markdown(""" + +### User function + +The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both). + +- When used as an Input, the component only impacts the input signature of the user function. +- When used as an output, the component only impacts the return signature of the user function. + +The code snippet below is accurate in cases where the component is used as both an input and an output. + +- **As input:** Is passed, passes the uploaded video as a `str` filepath or URL whose extension can be modified by `format`. +- **As output:** Should return, expects a {str} or {pathlib.Path} filepath to a video which is displayed, or a {Tuple[str | pathlib.Path, str | pathlib.Path | None]} where the first element is a filepath to a video and the second element is an optional filepath to a subtitle file. + + ```python +def predict( + value: str +) -> typing.Any: + return value +``` +""", elem_classes=["md-custom", "WebRTC-user-fn"], header_links=True) + + + + + demo.load(None, js=r"""function() { + const refs = {}; + const user_fn_refs = { + WebRTC: [], }; + requestAnimationFrame(() => { + + Object.entries(user_fn_refs).forEach(([key, refs]) => { + if (refs.length > 0) { + const el = document.querySelector(`.${key}-user-fn`); + if (!el) return; + refs.forEach(ref => { + el.innerHTML = el.innerHTML.replace( + new RegExp("\\b"+ref+"\\b", "g"), + `${ref}` + ); + }) + } + }) + + Object.entries(refs).forEach(([key, refs]) => { + if (refs.length > 0) { + const el = document.querySelector(`.${key}`); + if (!el) return; + refs.forEach(ref => { + el.innerHTML = el.innerHTML.replace( + new RegExp("\\b"+ref+"\\b", "g"), + `${ref}` + ); + }) + } + }) + }) +} + +""") + +demo.launch() diff --git a/frontend/Example.svelte b/frontend/Example.svelte new file mode 100644 index 0000000..4d20b98 --- /dev/null +++ b/frontend/Example.svelte @@ -0,0 +1,78 @@ + + +{#if value} + {#if playable()} +
+
+ {:else} +
{value}
+ {/if} +{/if} + + diff --git a/frontend/Index.svelte b/frontend/Index.svelte new file mode 100644 index 0000000..6c210ec --- /dev/null +++ b/frontend/Index.svelte @@ -0,0 +1,144 @@ + + + + + + + gradio.dispatch("clear_status", loading_status)} + /> + + + + diff --git a/frontend/gradio.config.js b/frontend/gradio.config.js new file mode 100644 index 0000000..19f8f32 --- /dev/null +++ b/frontend/gradio.config.js @@ -0,0 +1,9 @@ +export default { + plugins: [], + svelte: { + preprocess: [], + }, + build: { + target: "modules", + }, +}; \ No newline at end of file diff --git a/frontend/index.ts b/frontend/index.ts new file mode 100644 index 0000000..fb16e85 --- /dev/null +++ b/frontend/index.ts @@ -0,0 +1,7 @@ +export { default as BaseInteractiveVideo } from "./shared/InteractiveVideo.svelte"; +export { default as BaseStaticVideo } from "./shared/VideoPreview.svelte"; +export { default as BasePlayer } from "./shared/Player.svelte"; +export { prettyBytes, playable, loaded } from "./shared/utils"; +export { default as BaseExample } from "./Example.svelte"; +import { default as Index } from "./Index.svelte"; +export default Index; diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..02890ce --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,4963 @@ +{ + "name": "gradio_webrtc", + "version": "0.11.0-beta.3", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "gradio_webrtc", + "version": "0.11.0-beta.3", + "license": "ISC", + "dependencies": { + "@ffmpeg/ffmpeg": "^0.12.7", + "@ffmpeg/util": "^0.12.1", + "@gradio/atoms": "0.9.0-beta.2", + "@gradio/client": "1.6.0-beta.3", + "@gradio/icons": "0.8.0-beta.2", + "@gradio/image": "0.16.0-beta.3", + "@gradio/statustracker": "0.8.0-beta.2", + "@gradio/upload": "0.13.0-beta.3", + "@gradio/utils": "0.7.0-beta.2", + "@gradio/wasm": "0.14.0-beta.2", + "hls.js": "^1.5.13", + "mrmime": "^2.0.0" + }, + "devDependencies": { + 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"@ffmpeg/ffmpeg": "^0.12.7", + "@ffmpeg/util": "^0.12.1", + "@gradio/atoms": "0.9.0-beta.2", + "@gradio/client": "1.6.0-beta.3", + "@gradio/icons": "0.8.0-beta.2", + "@gradio/image": "0.16.0-beta.3", + "@gradio/statustracker": "0.8.0-beta.2", + "@gradio/upload": "0.13.0-beta.3", + "@gradio/utils": "0.7.0-beta.2", + "@gradio/wasm": "0.14.0-beta.2", + "hls.js": "^1.5.13", + "mrmime": "^2.0.0" + }, + "devDependencies": { + "@gradio/preview": "0.11.1" + }, + "exports": { + "./package.json": "./package.json", + ".": { + "gradio": "./index.ts", + "svelte": "./dist/index.js", + "types": "./dist/index.d.ts" + }, + "./example": { + "gradio": "./Example.svelte", + "svelte": "./dist/Example.svelte", + "types": "./dist/Example.svelte.d.ts" + }, + "./shared": { + "gradio": "./shared/index.ts", + "svelte": "./dist/shared/index.js", + "types": "./dist/shared/index.d.ts" + }, + "./base": { + "gradio": "./shared/VideoPreview.svelte", + "svelte": "./dist/shared/VideoPreview.svelte", + "types": "./dist/shared/VideoPreview.svelte.d.ts" + } + }, + "peerDependencies": { + "svelte": "^4.0.0" + }, + "main": "index.ts", + "main_changeset": true, + "repository": { + "type": "git", + "url": "git+https://github.com/gradio-app/gradio.git", + "directory": "js/video" + } +} \ No newline at end of file diff --git a/frontend/shared/InteractiveVideo.svelte b/frontend/shared/InteractiveVideo.svelte new file mode 100644 index 0000000..2edfc8b --- /dev/null +++ b/frontend/shared/InteractiveVideo.svelte @@ -0,0 +1,87 @@ + + + +
+ + + +
+ + diff --git a/frontend/shared/Player.svelte b/frontend/shared/Player.svelte new file mode 100644 index 0000000..50458ff --- /dev/null +++ b/frontend/shared/Player.svelte @@ -0,0 +1,270 @@ + + +
+
+ +
+ +
+
+ + {#if time === duration} + + {:else if paused} + + {:else} + + {/if} + + + {format_time(time)} / {format_time(duration)} + + + + + + +
+ +
+
+
+
+{#if interactive} + +{/if} + + diff --git a/frontend/shared/Video.svelte b/frontend/shared/Video.svelte new file mode 100644 index 0000000..c3ac900 --- /dev/null +++ b/frontend/shared/Video.svelte @@ -0,0 +1,197 @@ + + + +
+ + + +
+ + + diff --git a/frontend/shared/VideoControls.svelte b/frontend/shared/VideoControls.svelte new file mode 100644 index 0000000..30043a5 --- /dev/null +++ b/frontend/shared/VideoControls.svelte @@ -0,0 +1,202 @@ + + +
+ {#if mode === "edit"} +
+ +
+ {/if} + +
+ {#if mode === "edit" && trimmedDuration !== null} + +
+ + +
+ {:else} +
+ {/if} +
+
+ + handle_clear()} + download={show_download_button ? value?.url : null} +> + {#if showRedo && mode === ""} + { + handle_reset_value(); + mode = ""; + }} + /> + {/if} + + {#if interactive && mode === ""} + + {/if} + + + diff --git a/frontend/shared/VideoPreview.svelte b/frontend/shared/VideoPreview.svelte new file mode 100644 index 0000000..ac0a289 --- /dev/null +++ b/frontend/shared/VideoPreview.svelte @@ -0,0 +1,108 @@ + + + +{#if !value || value.url === undefined} + +{:else} + {#key value.url} + + {/key} +
+ + {#if show_download_button} + + + + {/if} + {#if show_share_button} + { + if (!value) return ""; + let url = await uploadToHuggingFace(value.data, "url"); + return url; + }} + /> + {/if} + +
+{/if} diff --git a/frontend/shared/VideoTimeline.svelte b/frontend/shared/VideoTimeline.svelte new file mode 100644 index 0000000..dcc7ea2 --- /dev/null +++ b/frontend/shared/VideoTimeline.svelte @@ -0,0 +1,279 @@ + + +
+ {#if loadingTimeline} +
+ +
+ {:else} +
+
+ {/if} +
+ + diff --git a/frontend/shared/Webcam.svelte b/frontend/shared/Webcam.svelte new file mode 100644 index 0000000..f77e384 --- /dev/null +++ b/frontend/shared/Webcam.svelte @@ -0,0 +1,402 @@ + + +
+ + + +
+ + \ No newline at end of file diff --git a/frontend/shared/WebcamPermissions.svelte b/frontend/shared/WebcamPermissions.svelte new file mode 100644 index 0000000..f9bd28e --- /dev/null +++ b/frontend/shared/WebcamPermissions.svelte @@ -0,0 +1,46 @@ + + + + + \ No newline at end of file diff --git a/frontend/shared/index.ts b/frontend/shared/index.ts new file mode 100644 index 0000000..979dcd6 --- /dev/null +++ b/frontend/shared/index.ts @@ -0,0 +1 @@ +export { default as Video } from "./Video.svelte"; diff --git a/frontend/shared/stream_utils.ts b/frontend/shared/stream_utils.ts new file mode 100644 index 0000000..9dd8c44 --- /dev/null +++ b/frontend/shared/stream_utils.ts @@ -0,0 +1,49 @@ +export function get_devices(): Promise { + return navigator.mediaDevices.enumerateDevices(); +} + +export function handle_error(error: string): void { + throw new Error(error); +} + +export function set_local_stream( + local_stream: MediaStream | null, + video_source: HTMLVideoElement +): void { + video_source.srcObject = local_stream; + video_source.muted = true; + video_source.play(); +} + +export async function get_video_stream( + include_audio: boolean, + video_source: HTMLVideoElement, + device_id?: string +): Promise { + const size = { + width: { ideal: 1920 }, + height: { ideal: 1440 } + }; + + const constraints = { + video: device_id ? { deviceId: { exact: device_id }, ...size } : size, + audio: include_audio + }; + + return navigator.mediaDevices + .getUserMedia(constraints) + .then((local_stream: MediaStream) => { + set_local_stream(local_stream, video_source); + return local_stream; + }); +} + +export function set_available_devices( + devices: MediaDeviceInfo[] +): MediaDeviceInfo[] { + const cameras = devices.filter( + (device: MediaDeviceInfo) => device.kind === "videoinput" + ); + + return cameras; +} \ No newline at end of file diff --git a/frontend/shared/utils.ts b/frontend/shared/utils.ts new file mode 100644 index 0000000..89a85de --- /dev/null +++ b/frontend/shared/utils.ts @@ -0,0 +1,146 @@ +import { toBlobURL } from "@ffmpeg/util"; +import { FFmpeg } from "@ffmpeg/ffmpeg"; +import { lookup } from "mrmime"; + +export const prettyBytes = (bytes: number): string => { + let units = ["B", "KB", "MB", "GB", "PB"]; + let i = 0; + while (bytes > 1024) { + bytes /= 1024; + i++; + } + let unit = units[i]; + return bytes.toFixed(1) + " " + unit; +}; + +export const playable = (): boolean => { + // TODO: Fix this + // let video_element = document.createElement("video"); + // let mime_type = mime.lookup(filename); + // return video_element.canPlayType(mime_type) != ""; + return true; // FIX BEFORE COMMIT - mime import causing issues +}; + +export function loaded( + node: HTMLVideoElement, + { autoplay }: { autoplay: boolean } +): any { + async function handle_playback(): Promise { + if (!autoplay) return; + await node.play(); + } + + node.addEventListener("loadeddata", handle_playback); + + return { + destroy(): void { + node.removeEventListener("loadeddata", handle_playback); + } + }; +} + +export default async function loadFfmpeg(): Promise { + const ffmpeg = new FFmpeg(); + const baseURL = "https://unpkg.com/@ffmpeg/core@0.12.4/dist/esm"; + + await ffmpeg.load({ + coreURL: await toBlobURL(`${baseURL}/ffmpeg-core.js`, "text/javascript"), + wasmURL: await toBlobURL(`${baseURL}/ffmpeg-core.wasm`, "application/wasm") + }); + + return ffmpeg; +} + +export function blob_to_data_url(blob: Blob): Promise { + return new Promise((fulfill, reject) => { + let reader = new FileReader(); + reader.onerror = reject; + reader.onload = () => fulfill(reader.result as string); + reader.readAsDataURL(blob); + }); +} + +export async function trimVideo( + ffmpeg: FFmpeg, + startTime: number, + endTime: number, + videoElement: HTMLVideoElement +): Promise { + const videoUrl = videoElement.src; + const mimeType = lookup(videoElement.src) || "video/mp4"; + const blobUrl = await toBlobURL(videoUrl, mimeType); + const response = await fetch(blobUrl); + const vidBlob = await response.blob(); + const type = getVideoExtensionFromMimeType(mimeType) || "mp4"; + const inputName = `input.${type}`; + const outputName = `output.${type}`; + + try { + if (startTime === 0 && endTime === 0) { + return vidBlob; + } + + await ffmpeg.writeFile( + inputName, + new Uint8Array(await vidBlob.arrayBuffer()) + ); + + let command = [ + "-i", + inputName, + ...(startTime !== 0 ? ["-ss", startTime.toString()] : []), + ...(endTime !== 0 ? ["-to", endTime.toString()] : []), + "-c:a", + "copy", + outputName + ]; + + await ffmpeg.exec(command); + const outputData = await ffmpeg.readFile(outputName); + const outputBlob = new Blob([outputData], { + type: `video/${type}` + }); + + return outputBlob; + } catch (error) { + console.error("Error initializing FFmpeg:", error); + return vidBlob; + } +} + +const getVideoExtensionFromMimeType = (mimeType: string): string | null => { + const videoMimeToExtensionMap: { [key: string]: string } = { + "video/mp4": "mp4", + "video/webm": "webm", + "video/ogg": "ogv", + "video/quicktime": "mov", + "video/x-msvideo": "avi", + "video/x-matroska": "mkv", + "video/mpeg": "mpeg", + "video/3gpp": "3gp", + "video/3gpp2": "3g2", + "video/h261": "h261", + "video/h263": "h263", + "video/h264": "h264", + "video/jpeg": "jpgv", + "video/jpm": "jpm", + "video/mj2": "mj2", + "video/mpv": "mpv", + "video/vnd.ms-playready.media.pyv": "pyv", + "video/vnd.uvvu.mp4": "uvu", + "video/vnd.vivo": "viv", + "video/x-f4v": "f4v", + "video/x-fli": "fli", + "video/x-flv": "flv", + "video/x-m4v": "m4v", + "video/x-ms-asf": "asf", + "video/x-ms-wm": "wm", + "video/x-ms-wmv": "wmv", + "video/x-ms-wmx": "wmx", + "video/x-ms-wvx": "wvx", + "video/x-sgi-movie": "movie", + "video/x-smv": "smv" + }; + + return videoMimeToExtensionMap[mimeType] || null; +}; diff --git a/frontend/shared/webrtc_utils.ts b/frontend/shared/webrtc_utils.ts new file mode 100644 index 0000000..e661c08 --- /dev/null +++ b/frontend/shared/webrtc_utils.ts @@ -0,0 +1,141 @@ +export function createPeerConnection(pc, node) { + // register some listeners to help debugging + pc.addEventListener( + "icegatheringstatechange", + () => { + console.log(pc.iceGatheringState); + }, + false + ); + + pc.addEventListener( + "iceconnectionstatechange", + () => { + console.log(pc.iceConnectionState); + }, + false + ); + + pc.addEventListener( + "signalingstatechange", + () => { + console.log(pc.signalingState); + }, + false + ); + + // connect audio / video from server to local + pc.addEventListener("track", (evt) => { + console.log("track event listener"); + if (evt.track.kind == "video") { + console.log("streams", evt.streams); + node.srcObject = evt.streams[0]; + console.log("node.srcOject", node.srcObject); + } + }); + + return pc; +} + +export async function start(stream, pc, node, server_fn, webrtc_id) { + pc = createPeerConnection(pc, node); + if (stream) { + stream.getTracks().forEach((track) => { + track.applyConstraints({ frameRate: { max: 30 } }); + + console.log("Track stream callback", track); + pc.addTrack(track, stream); + }); + } else { + console.log("Creating transceiver!"); + pc.addTransceiver("video", { direction: "recvonly" }); + } + + await negotiate(pc, server_fn, webrtc_id); + return pc; +} + +function make_offer(server_fn: any, body): Promise { + return new Promise((resolve, reject) => { + server_fn(body).then((data) => { + console.log("data", data) + if(data?.status === "failed") { + console.log("rejecting") + reject("error") + } + resolve(data); + }) + }) +} + +async function negotiate( + pc: RTCPeerConnection, + server_fn: any, + webrtc_id: string, +): Promise { + return pc + .createOffer() + .then((offer) => { + return pc.setLocalDescription(offer); + }) + .then(() => { + // wait for ICE gathering to complete + return new Promise((resolve) => { + console.log("ice gathering state", pc.iceGatheringState); + if (pc.iceGatheringState === "complete") { + resolve(); + } else { + const checkState = () => { + if (pc.iceGatheringState === "complete") { + console.log("ice complete"); + pc.removeEventListener("icegatheringstatechange", checkState); + resolve(); + } + }; + pc.addEventListener("icegatheringstatechange", checkState); + } + }); + }) + .then(() => { + var offer = pc.localDescription; + return make_offer( + server_fn, + { + sdp: offer.sdp, + type: offer.type, + webrtc_id: webrtc_id + }, + ); + }) + .then((response) => { + return response; + }) + .then((answer) => { + return pc.setRemoteDescription(answer); + }) +} + +export function stop(pc: RTCPeerConnection) { + console.log("pc", pc); + console.log("STOPPING"); + // close transceivers + if (pc.getTransceivers) { + pc.getTransceivers().forEach((transceiver) => { + if (transceiver.stop) { + transceiver.stop(); + } + }); + } + + // close local audio / video + if (pc.getSenders()) { + pc.getSenders().forEach((sender) => { + if (sender.track && sender.track.stop) sender.track.stop(); + }); + } + + // close peer connection + setTimeout(() => { + pc.close(); + }, 500); +} diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..e7ce908 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,51 @@ +[build-system] +requires = [ + "hatchling", + "hatch-requirements-txt", + "hatch-fancy-pypi-readme>=22.5.0", +] +build-backend = "hatchling.build" + +[project] +name = "gradio_webrtc" +version = "0.0.1" +description = "Stream images in realtime with webrtc" +readme = "README.md" +license = "apache-2.0" +requires-python = ">=3.10" +authors = [{ name = "YOUR NAME", email = "YOUREMAIL@domain.com" }] +keywords = ["gradio-custom-component", "gradio-template-Video", "streaming", "webrtc", "realtime"] +# Add dependencies here +dependencies = ["gradio>=4.0,<5.0", "aiortc"] +classifiers = [ + 'Development Status :: 3 - Alpha', + 'Operating System :: OS Independent', + 'Programming Language :: Python :: 3', + 'Programming Language :: Python :: 3 :: Only', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Programming Language :: Python :: 3.11', + 'Topic :: Scientific/Engineering', + 'Topic :: Scientific/Engineering :: Artificial Intelligence', + 'Topic :: Scientific/Engineering :: Visualization', +] + +# The repository and space URLs are optional, but recommended. +# Adding a repository URL will create a badge in the auto-generated README that links to the repository. +# Adding a space URL will create a badge in the auto-generated README that links to the space. +# This will make it easy for people to find your deployed demo or source code when they +# encounter your project in the wild. + +# [project.urls] +# repository = "your github repository" +# space = "your space url" + +[project.optional-dependencies] +dev = ["build", "twine"] + +[tool.hatch.build] +artifacts = ["/backend/gradio_webrtc/templates", "*.pyi"] + +[tool.hatch.build.targets.wheel] +packages = ["/backend/gradio_webrtc"]