Comments (1)
Cheng-Lin-Li
commented on May 23, 2024
Hi,
Please refer the readme 5.3
https://github.com/Cheng-Lin-Li/SegCaps#5-3-test-your-model
The program will convert all image files into numpy format and store training/testing images into ./data/np_files and testing (and training) file lists under ./data/split_list folders. You need to remove these two folders every time if you want to replace your training image and mask files. The program will only read data from np_files folders.
Hope this will help.
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Related Issues (20)
- Creating MSCOCO dataset HOT 2
- What does num_atom mean?
- Instruction for running the code from .jpg files HOT 3
- TypeError: deconv_length() missing 1 required positional argument: 'output_padding' HOT 13
- bad mask HOT 1
- RuntimeError: Exception thrown in SimpleITK ReadImage: /opt/miniconda2/conda-bld/simpleitk_1546539363356/work/Code/IO/src/sitkImageReaderBase.cxx:107: sitk::ERROR: Unable to determine ImageIO reader for "data/imgs/train470.png"
- Can not load images and masks HOT 3
- Why transformation matrix shared by different child capsule types?
- Training image and mask error HOT 4
- Did you realize the Experiments Results stated in paper of Capsules for Object Segmentation?
- RGB images with binary masks
- dependencies version
- Value Error
- ValueError: No gradients provided for any variable HOT 1
- ValueError: Dimension 0 in both shapes must be equal, but are 3 and 16.
- Proplem with deconv_length from keras.utils.conv_utils
- Iteration Time Issue
- Training Performance Do Not Improve HOT 4
- expected out_recon shape (512, 512, 1) HOT 2
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