切片推理
此代码 Fork obss/sahi, 添加如下功能
- 添加rknn支持
detection_model = AutoDetectionModel.from_pretrained(
model_type='yolov8rknn',
model_path=yolov8_onnx_model_path,
confidence_threshold=0.3,
category_mapping=category_mapping,
device="cpu", # or 'cuda:0'
)
- 添加yolov10 导出 onnx 支持
detection_model = AutoDetectionModel.from_pretrained(
model_type='yolov10onnx',
model_path=yolov8_onnx_model_path,
confidence_threshold=0.3,
category_mapping=category_mapping,
)
- 添加参数 EP_LIST, 使用onnx推理时直接传递
detection_model = AutoDetectionModel.from_pretrained(
model_type='yolov10onnx',
model_path=yolov8_onnx_model_path,
confidence_threshold=0.3,
category_mapping=category_mapping,
ep_list=['CUDAExecutionProvider', 'CPUExecutionProvider']
)
Metadata
Release files for sahi-fei 0.11.19
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| File | Size | Uploaded | |
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| sahi_fei-0.11.19.tar.gz | 108.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sahi_fei-0.11.19-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 229.4 kB
Release files / sahi_fei-0.11.19.tar.gz
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