Comments (3)
For TextVQA validation accuracy:
2 GPU:
python -m torch.distributed.launch --nproc_per_node 2 TAP/tools/run.py --tasks vqa --datasets m4c_textvqa --model m4c_split \ --config $config \ --run_type val \ --save_dir $save_directory \ --resume_file $model.ckpt \ training_parameters.distributed True
single GPU:
python TAP/tools/run.py --tasks vqa --datasets m4c_textvqa --model m4c_split \ --config $config \ --run_type val \ --save_dir $save_directory \ --resume_file $model.ckp
For TextVQA test accuracy, the test set label is not publicly release, So:
- Predict and save as JSON
python TAP/tools/run.py --tasks vqa --datasets m4c_stvqa --model m4c_split \ --config $config \ --run_type inference --evalai_inference 1 \ --save_dir $model.ckpt
- Upload to https://eval.ai/web/challenges/challenge-page/874/ for accuracy calculation
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Hi @soonchangAI, thanks for your reply.
Now I find the address provided in data/README.md is invalid. Could you please provide me with a new dataset download address? Thanks.
from tap.
I find the address provided in data/README.md is invalid. Could you please provide me with a new dataset download address? Thanks.
from tap.
Related Issues (20)
- Text Caption HOT 1
- TextCaps json file missing for TextVQA HOT 2
- Issue
- No targets for training HOT 1
- Different --model for using `textvqa_tap_ocrcc_best.ckpt`? HOT 1
- Reproduce of checkpoints HOT 1
- VQA output HOT 1
- Microsoft OCR data could not be found HOT 2
- Error during finetuning base model HOT 2
- Error of Pretraining User Defined Dataset HOT 5
- Validation Accuracy different from paper
- Hang when calculate validation accuracy
- A KEYERROR need to be solved--Emergency!
- Where is the text images in CC-OCR? HOT 4
- how to convert multi distributed GPU to single GPU
- TAP Pretraining on TextCaps, TextVQA, ST-VQA on TextVQA down-stream dataset
- Error in running pretrain because of torch.distributed
- Error when download the code HOT 2
- Link has expired HOT 1
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