edwardyehuang / car Goto Github PK

I am trying the code while stopped at step 2. I can not convert downloaded dataset. the final error is related to os.fspath. I am wondering there might be something wrong about the output path part. What should inside the { }? Can you give an example for it?

HI. Is it possible to upload a converted dataset?
I tried the new code as:
sudo python3 ids/tools/convert_record.py --convert_datasets=pascalcontext --pascalcontext_path=/home/xuanwu/Downloads/CAR/pascalcontext --tfrecord_outputs=/home/xuanwu/Downloads/CAR/conv
where conv is the output position.

However, the conversion stopped at 'conversion 2794'. The terminal stopped and exited with no no message. Can you help?

Hello, I'm very interested in your work, but when I run train Py, I received the following error.
In addition, I used the CONDA environment and installed TF2.8 and cudnn8.1

2022-05-05 10:33:01.148738: W tensorflow/core/framework/op_kernel.cc:1745] OP_REQUIRES failed at conv_ops.cc:1120 : UNIMPLEMENTED: DNN library is not found. Traceback (most recent call last): File "train.py", line 66, in <module> app.run(train) File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "train.py", line 45, in train training.train( File "/tmpnfs/junli/CAR/iseg/core_train.py", line 142, in train model.fit( File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 67, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/tensorflow/python/eager/execute.py", line 54, in quick_execute tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, tensorflow.python.framework.errors_impl.UnimplementedError: Graph execution error:

……

File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1096, in __call__ outputs = call_fn(inputs, *args, **kwargs) File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 92, in error_handler return fn(*args, **kwargs) File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/keras/layers/convolutional.py", line 248, in call outputs = self.convolution_op(inputs, self.kernel) File "/home/CN/zizhang.wu/anaconda3/envs/jlcar/lib/python3.8/site-packages/keras/layers/convolutional.py", line 233, in convolution_op return tf.nn.convolution( Node: 'seg_managed/resnet50/conv1_1_conv/Conv2D' 2 root error(s) found. (0) UNIMPLEMENTED: DNN library is not found. [[{{node seg_managed/resnet50/conv1_1_conv/Conv2D}}]] [[div_no_nan_4/ReadVariableOp/_418]] (1) UNIMPLEMENTED: DNN library is not found. [[{{node seg_managed/resnet50/conv1_1_conv/Conv2D}}]] 0 successful operations. 0 derived errors ignored. [Op:__inference_train_function_40875]

Why do you use the softmax and stop the gradient on keys?