Open abbaskali opened 2 years ago
You need to use gen_tfrecord.py to convert data to tfrecord, then use fcrn_train.py to train. Because you don't have valid train.tfrecords and test.tfrecords, so the codes can't run correctly.
@Windaway thank you I did like your instructions gen_tfrecord.py works good, but fcrn_train.py still doesn't work, what is the TensorFlow version should I configure, CUDA, and CUDNN? i think in configurations there is an error
The codes may works on tensorflow 1.10.
@Windaway thank you but TensorLayer does not support the Tensorflow versions older than 2.0.0.!! how I can solve this!
You may install tensorlayer==1.10.0
@Windaway it is working thank you, there are some errors and solved it, thankful to you, 谢谢您
@Windaway today is the third day for training is it normal or something wrong? I used 1348 RGB images and 1348 images corresponding depth for training and 100 RGB images and 100 images corresponding depth for testing using GPU with GTX 1070 with 8GB
how should I prepare or get those train datasets? NYU-data is .mat! which type should be?
how to use training code, I used fcrn_train.py, but no any output gives!