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rawalkhirodkar / MIPNet

Apache License 2.0
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The ocpose issues and OChuman dataset #12

Closed huanghao11 closed 2 years ago

huanghao11 commented 2 years ago

Hello, your work is very good, but when I tested OChuman's dataset, I found that the path in the shell file is ocpose, and what I want to teach is: I changed the ocpose to ochuman according to my ideas, in the training, this problem arose, The train_loader is missing, can you help me to solve my issues. thanks!

=> classes: ['background', 'person'] => num_images: 2231 => load 3819 samples => updated lr schedule is [170, 200] training on lambda Traceback (most recent call last): File "tools/lambda/train_lambda_real.py", line 280, in main() File "tools/lambda/train_lambda_real.py", line 241, in main train_lambda(cfg, train_loader, model, criterion_lambda, criterion, optimizer, epoch, File "/Workspace/MIPNet-main/MIPNet-main/tools/lambda/../../lib/core/train.py", line 355, in train_lambda for i, (input, target_a, target_weight_a, meta_a, target_b, target_weight_b, meta_b) in enumerate(train_loader): ValueError: not enough values to unpack (expected 7, got 4)

huanghao11 commented 2 years ago

I have solved this issues!

123qwaz commented 7 months ago

你好，想问一下这个问题是怎么解决的呢？我也出现了这个问题