Eduardo Ottone
ee92581211
- Implements YOLOv8-based object detection with batch output - Supports multiple YOLOv8 model sizes (nano to extra-large) - Configurable confidence threshold, IoU threshold, and padding - Outputs separate images for each detected object - Includes installation scripts for Windows, Linux, and Mac - Complete documentation and example workflow - MIT license for open source distribution
95 lines
2.6 KiB
JSON
95 lines
2.6 KiB
JSON
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{
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"type": "LoadImage",
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"size": {"0": 315, "1": 314},
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"flags": {},
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"order": 0,
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"mode": 0,
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"outputs": [
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{"name": "IMAGE", "type": "IMAGE", "links": [1], "shape": 3, "slot_index": 0},
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{"name": "MASK", "type": "MASK", "links": null, "shape": 3}
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"properties": {"Node name for S&R": "LoadImage"},
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"widgets_values": ["example_image.jpg", "image"]
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"outputs": [
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{"name": "detected_objects", "type": "IMAGE", "links": [2, 3], "shape": 3, "slot_index": 0},
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{"name": "object_count", "type": "INT", "links": [4], "shape": 3, "slot_index": 1},
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{"name": "class_names", "type": "STRING", "links": [5], "shape": 3, "slot_index": 2},
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"widgets_values": ["detected_objects"]
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"groups": [],
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"config": {},
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"extra": {},
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"version": 0.4
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}
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