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Baidu is difficult to access from outside China. Please use another drive to share ONNX.
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Related Issues (20)
- Cannot use converted model with dynamic input shape HOT 6
- Yolov8 conversion to edgetpu for image sizes greater than 192x192 HOT 4
- Trilu dtype error when using k greater than tensor dimension. HOT 1
- Onnx in tflite on Windows11 HOT 2
- (1)Not correctly recognize depthwise_conv (2)-oiqt could not skip SavedModel HOT 2
- Failed to convert model from segmentation_models_pytorch with dynamic shape HOT 2
- Improved grid_sample HOT 1
- onnx2tf `download_test_image_data()` S3 file connection error HOT 2
- Downgrade of ~10% on multiple weights of YoloX HOT 7
- yolov8-seg output transpose (0,3,1,2) HOT 5
- [ssdlite320_mobilenet_v3_large] Wrong shapes during inference HOT 2
- SavedModel saved prior to TF 2.5 detected when loading Keras model. HOT 2
- Conversion of ScatterND operator results in error HOT 2
- module 'tensorflow' has no attribute 'random' for tensorflow 2.15, but 2.14.0 does HOT 2
- Conversion of YoloV5, conversion of StridedSlice from 5d to 4d HOT 7
- Failed to convert Real-ESRGAN x4-general (NCHW) HOT 1
- Error when onnx2tf: Floating point exception (core dumped) HOT 10
- Full int8 quantized model doesn't work when "flatc" is installed on the system HOT 8
- ValueError: Exception encountered when calling layer "tf.math.multiply_46" (type TFOpLambda).
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