Linzaer / Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
MIT License
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onnx转换出来报错 #287

Open xijunjun opened 1 year ago

xijunjun commented 1 year ago

WARNING: ONNX Optimizer has been moved to https://github.com/onnx/optimizer. All further enhancements and fixes to optimizers will be done in this new repo. The optimizer code in onnx/onnx repo will be removed in 1.9 release.

Traceback (most recent call last): File "detect_imgs_onnx.py", line 59, in predictor = backend.prepare(predictor, device="CPU") # default CPU File "/home/tao/anaconda3/envs/lama/lib/python3.8/site-packages/caffe2/python/onnx/backend.py", line 708, in prepare init_net, predict_net = cls._onnx_model_to_caffe2_net(model, device, opset_version, False) File "/home/tao/anaconda3/envs/lama/lib/python3.8/site-packages/caffe2/python/onnx/backend.py", line 875, in _onnx_model_to_caffe2_net onnx_model = onnx.utils.polish_model(onnx_model) File "/home/tao/anaconda3/envs/lama/lib/python3.8/site-packages/onnx/utils.py", line 24, in polish_model model = onnx.optimizer.optimize(model) File "/home/tao/anaconda3/envs/lama/lib/python3.8/site-packages/onnx/optimizer.py", line 55, in optimize optimized_model_str = C.optimize(model_str, passes) IndexError: Input 405 is undefined!