Add optional arguments to ImageDataManager #494
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Add **kwargs optional arguments to ImageDataManager, which will ensure flexibility of the custom and registered dataset
Add **kwargs optional arguments to ImageDataManager I defined a custom ImageDataset, which takes some additional arguments for init. According to [use custom dataset](https://kaiyangzhou.github.io/deep-person-reid/user_guide.html#use-your-own-dataset), the officially recommended way to use the dataset is to use the ImageDataManager I tried to pass **kwargs(a dict) into the torchreid.data.ImageDataManager() constructor. Unfortunately, due to the **positional(fixed)** arguments of the function `init_image_dataset` (in datamanager.py), the constructor of my own custom dataset cannot receive any additional arguaments. I hope it will fix the problem!
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I see. That makes sense. You also need to add |
add **kwargs to all occurrences of `init_image_dataset ` in `datamanager.py`
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Ok. there are 4 occurrences in You can see if it matches the logic. I haven't done serious check, and I'm not quite sure about the fix here. |
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I've checked the other parts that are associated with this argument. All look fine. Can you do me a favor: run the code to train a tiny model on market (use the smallest image size like 64x64) to see if any bug occurs? To expedite the process, set the total epoch to 2 (need to see if both the train and test parts work) |
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Add **kwargs optional arguments to ImageDataManager
I defined a custom ImageDataset, which takes some additional arguments for init.
According to use custom dataset, the officially recommended way to use the dataset is to use the ImageDataManager
I tried to pass **kwargs(a dict) into the torchreid.data.ImageDataManager() constructor. Unfortunately, due to the positional(fixed) arguments of the function
init_image_dataset(in datamanager.py), the constructor of my own custom dataset cannot receive any additional arguaments.I hope it will fix the problem!