Including files

main.py: includes data loader, moodel loader, train, and test and draw figure

• model include
  • Alexnet
  • VGGNet11
  • ResNet18
  • DenseNet
• draw figure
  • Loss
  • accuracy top1, top5
  • classification confusion data ##num_pre: includes
• accuracy_topk: computes the precision of top1 and top5

draw_figure.py:includes

• plot_with_labels:
• images_example:

self_dataset_loader: includes

• class TorchSelfDataset: dataset loader

self_image_processing:include

• show_image:
  • show RGB image in matplotlib
• cv_show_image:
  • show RGB image in openCV
• read_image:
  • read image in openCV
  • resize image
  • normalization of image
• fast_read_image_roi:
  • read image in openCV
  • fixed resize image, (IMREAD_REDUCED mode, 1/2, 1/4, 1/8)
  • normalization of image
• resize_image:
  • resize image
• scale_image:
  • resize image
• get_rect_image:
  • get a rectangle image
• scale_rect:
  • scale original image and rectangle
• show_image_rect:
  • show rectangle, not cat rectangle image
  • no return parameters
• rgb_to_gray:
  • image from RGB to GRAY
• save_image:
  • save image
• combime_save_image:
  • save image and modify file name