IDDM v1.0.2

We are delighted to announce that version 1.0.2 of IDDM (Industrial Defect Diffusion Model) has been officially released.
In this version, we have made the following changes.

• Update: Modify tqdm progress bar problem. #b1ea7c3
• Add: Add a parameter for the number of custom visualization images generated. #b48b61b
• Update: Modify the training setting in 4 datasets. #5f20649
• Add: Add fast deployment and API on cloud servers, and send message test function. #f48c468
• Add: Add activation function setting. #8b34de2
• Update: Optimize some code. #cd78a21
• Add: Add saving train log method. #5c4b49a
• Fix: Fix the problem of different training times and modified the distributed training synchronization lock. #c0157d9
• Add: Add selection of activation functions in the generated model. #f8767d2
• Add: Add dataset example. #d3ec97a
• Add: Add results README. #0cd6f57
• Update: Modify README. #526134b
• Add: Add animate face images. #256393c
• Update: Modify the subtitle style. #49dfcf2
• Add: Add the image of IDDM training. #662b4c3
• Update: Add training demo. #8f1ade9
• Update: Modify --distributed initial parameter default value. #6297617
• Fix: Fix the expression type error and changge in to float. #2ca7449
• Update: Modify test error. #4b43d32
• Update: This is a method to display the results of each model during training and can be commented out. #3443662
• Add: Add the 'check_and_create_dir' function. #7f88e91
• Add: Add the activation function in deploy.py. #6529f80
• Fix: Fix no folder error after generate. #5b15de6
• Add: When adding conditional generation, all class images can be generated at once. Multiple images of a single class can also be generated.#a4c77b9
• Update: Add parameter explanation. #dfbe132
• Update: Add model construction explanation. #8a9e121
• Update: Modify model construction explanation error. #b38864c