Comments (1)
The issue here was that you switched load_type
from train
to train_val
. It was originally validating on your training set and then when you loaded it started validating on your validation set. Since the sizes are different for len(val_loader)
it plotted at a different point. We are going to update this so that all plots use the same x axis #24
from vip.
Related Issues (20)
- Allow Unseeded Training HOT 3
- Change x-axis of validation accuracy HOT 1
- Seed Numpy in addition to Torch HOT 1
- Clip stride, clip offset, and num clips are unimplemented HOT 1
- Add preprocessing for x-y translation
- Variable clip length HOT 2
- Remove feature extraction code from c3d HOT 1
- Reset validation accuracy every epoch
- Add author accuracies in Readme
- Create outline for usage of ViP
- RuntimeError: Given input size: (512x1x7x7). Calculated output size: (512x0x4x4). Output size is too small HOT 1
- config error HOT 3
- Support for multi-gpu training & evaluation
- Pytorch definition of optimizers and schedulers
- Separate each metric and loss into files
- Change DataLoader Collate Function HOT 1
- About gen_json_UCF101 HOT 1
- Where should I put the dataset?
- Can you provide the link for 2.2 times cropped dataset of MPII+NZSL hand dataset? HOT 3
- No such file or directory: '/z/dat/HMDB51/train.json' HOT 1
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