h2k804 / cyclegan-medical-image-segmentation Goto Github PK

you can run pip freeze > requirements.txt . such as :

reader = read(uri, format,"i", **kwargs)
with reader:
return reader.get_data(0)
can anyone solve this?

Is there any paper about CycleGAN for unsupervised image segmentation, performed on brain tumor scans?

I tried running the main file and this is what I get

python main.py --dataset_dir=med_image
2019-09-10 10:58:14.024749: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-09-10 10:58:14.285142: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce RTX 2080 major: 7 minor: 5 memoryClockRate(GHz): 1.845
pciBusID: 0000:01:00.0
totalMemory: 8.00GiB freeMemory: 6.55GiB
2019-09-10 10:58:14.296075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-09-10 10:58:14.820728: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-09-10 10:58:14.827506: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-09-10 10:58:14.832097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-09-10 10:58:14.837148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6282 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080, pci bus id: 0000:01:00.0, compute c
apability: 7.5)
Traceback (most recent call last):
File "main.py", line 60, in
tf.compat.v1.app.run()
File "C:\Users\user\AppData\Roaming\Python\Python35\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 54, in main
model = CycleGan(sess=sess, args=args)
File "C:\Users\user\Google Drive\CycleGAN-medical-image-segmentation-master\model.py", line 15, in init
self.writer = tf.compat.v1.summary.FileWriter("./logs", self.sess.graph)
AttributeError: 'CycleGan' object has no attribute 'sess'

import tensorflow.contrib.slim as slim
ModuleNotFoundError: No module named 'tensorflow.contrib'

What is the relationship between Train A and Train B in the dataset?
Why do you think it's an unsupervised medical image segmentation method?

is there any related paper