cristhianandClaude Opus 5
22bd1e9e89
The example dataflow pulled opencv-video-capture and pyarrow-sender from dora-hub, needed a webcam, and left `bbox` unwired because every bbox source is a detector. examples/source.py emits an animated frame, the box around the square in it, and a caption, so the dataflow exercises all three inputs with nothing outside this checkout. SOURCE_FRAMES bounds the run, which lets CI run the dataflow headless rather than only validate it. Drops the dora-zed and dora-yolo wirings from the README and trims AGENTS.md to what the code and README do not already say. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018WLVZCFFcCH1EpTXGfS9aD
74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
"""Synthetic source node: this repository's stand-in for a camera and a detector.
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Emits an animated frame, the box around the square moving in it, and a caption --
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the three inputs dora-plot draws -- so the example dataflow needs no camera, no
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detector and no network.
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"""
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import os
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import numpy as np
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import pyarrow as pa
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from dora import Node
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WIDTH = int(os.getenv("SOURCE_WIDTH", "640"))
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HEIGHT = int(os.getenv("SOURCE_HEIGHT", "480"))
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# 0 runs until the viewer quits; a positive count is what lets CI run the
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# dataflow to completion instead of killing it on a timeout.
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FRAMES = int(os.getenv("SOURCE_FRAMES", "0"))
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BOX = 96
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SPEED = 6
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CAPTION = "dora-plot synthetic source"
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def main() -> None:
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"""Send one image, bbox and text per tick."""
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node = Node("source")
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sent = 0
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for event in node:
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if event["type"] != "INPUT":
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continue
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frame, corners = render(sent)
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node.send_output(
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"image",
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pa.array(frame.ravel()),
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{"width": WIDTH, "height": HEIGHT, "encoding": "bgr8"},
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)
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node.send_output(
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"bbox",
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pa.array([{
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"bbox": corners,
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"conf": np.array([0.99]),
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"labels": np.array(["square"]),
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}]),
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{"format": "xyxy"},
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)
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node.send_output("text", pa.array([CAPTION]))
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sent += 1
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if FRAMES and sent >= FRAMES:
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break
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def render(index: int) -> tuple[np.ndarray, np.ndarray]:
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"""Draw frame `index` and return it with the xyxy corners of the square in it."""
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frame = np.zeros((HEIGHT, WIDTH, 3), dtype=np.uint8)
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frame[:, :, 0] = np.linspace(40, 140, HEIGHT, dtype=np.uint8)[:, None]
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travel = WIDTH - BOX
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# A triangle wave over `index`: the square starts at the left edge, runs to
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# the right edge, and comes back.
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left = travel - abs((index * SPEED) % (2 * travel) - travel)
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top = (HEIGHT - BOX) // 2
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frame[top : top + BOX, left : left + BOX] = (60, 200, 255)
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corners = np.array([left, top, left + BOX, top + BOX], dtype=np.float64)
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return frame, corners
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if __name__ == "__main__":
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main()
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