cristhian aguilera
44eec29b83
Split the monolithic open_vocab engine into two focused engines: yolo_onnx (closed-vocabulary, any single-input YOLO ONNX) and yoloworld_onnx (open-vocabulary YOLO-World with CLIP encoder). Shared NMS/letterbox/fuse helpers extracted to yolo_helpers.h. Add export_yolo.py script and separate test binaries for each engine.
19 lines
468 B
YAML
19 lines
468 B
YAML
nodes:
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- id: zed-camera
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git: ssh://git@gitea.liria.cl:5001/liria/dora-zed.git
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git_checkout: v0.1.0
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build: mkdir -p build && cd build && cmake .. && make install
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path: bin/dora_zed
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inputs:
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tick: dora/timer/millis/100
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outputs:
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- image_bgr
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- objects
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- id: plot
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git: https://github.com/dora-rs/dora-hub.git
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build: pip install ./node-hub/opencv-plot
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path: opencv-plot
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inputs:
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image: zed-camera/image_bgr
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