h2k804 / cyclegan-medical-image-segmentation Goto Github PK
View Code? Open in Web Editor NEWImplementation of CycleGAN for unsupervised image segmentaion, performed on brain tumor scans
Implementation of CycleGAN for unsupervised image segmentaion, performed on brain tumor scans
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
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