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dataset to test the model, and evaluate the model. #11
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why i am getting this error while running evaluate.py |
hello, I meet the same demand, can you please share the dataset link from where i download |
@Justarrrrr i created my own dataset , Thanks |
@Justarrrrr what kind of problem you're facing ? |
this model is already trained you have to just download it from given link . |
python3 evaluate.py --lr_dir=lr-set --key_dir=key-set --target_dir=hr-set --output_dir=proj --model_dir=experiments/bix4_keyvsrc_attn --restore_file=pretrained --file_fmt="frame%d.jpg" |
hello,KeenNest! Thank you for the help you provided earlier, but now I have a new question. Can you help me answer it? I would like to know why there are three folders in the output of the 'evaluate' model: 'key', 'target', and 'lr'. What is the purpose of these three outputs? |
basically evaluate argument used as a input like lr (low resolution) used as a input from direct live camera and it takes input as a form of frames . key(high resolution keys) its takes live frame into interval. target used for match the converted frames are match to lr frames .. |
I can understand these two inputs, but why we should provide the hr_set, and eventually we get the frames reconstructed are same resolution as hr_set |
hi @Justarrrrr |
yeah, I can produce the output ,but as my understanding, we just need the low resolution images and some key frames, the hr_set is just needed to compute some metrics like loss rate, is that? |
yes, but can you share some of doubt i have to produce output files . |
what doubt do you have? I use the Vid4 dataset |
i am using python3 evaluate.py --lr_dir=/home/ashish/proj/dataset/lr-set/ --key_dir=/home/ashish/proj/dataset/key-set/ --target_dir=/home/ashish/proj/dataset/hr-set/ --model_dir=experiments/bix4_ |
what's the Traceback? |
ashish@ashish-desktop:~/proj/NeuriCam$ python3 evaluate.py --lr_dir=/home/ashish/proj/dataset/lr-set/ --key_dir=/home/ashish/proj/dataset/key-set/ --target_dir=/home/ashish/proj/dataset/hr-set/ --model_dir=experiments/bix4_keyvsrc_attn/ --restore_file=pretrained --file_fmt="frame%d.png" --output=./output
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what dataset you use? |
I created my own dataset .. |
May I ask what kind of preprocessing you have applied to your dataset? I tried running the model on the standard Vid4 dataset with some modifications but encountered issues |
first I reduce the size to 160*120, and divide dataset into three parts |
can you sent your dataset to me have a try? |
https://drive.google.com/drive/folders/1jhmUm9rL8zfY-JJ6Zq3GvagDTzLDsM6-?usp=sharing what's your machine specification. ? |
that's what i want to ask you haha , i use remote machine 2080Ti and 4090, but now i don't have idle GPU |
I am using. jetson nano: - 128-core NVIDIA Maxwell™ architecture GPU |
First, you need to create a new folder eg. named "work" under the lr_set and other folders. Secondly, this dataset cannot be processed successfully. I have tried modifying the Vid4 dataset to 160x120, but encountered the same error. |
but i already created the live folder under lr-set. and what the resolution i have to made as for you , |
Hi @Justarrrrr , any idea why it's not running. |
Sorry for the late reply, I haven't found a solution either. I wanted to ask if you have the REDS4 dataset |
no i don't have . |
hi @Justarrrrr |
Sure, have you successfully run the model? |
not yet, i done down sampling on that dataset but now getting this error . |
Hi @Justarrrrr |
To run this command ,
python evaluate.py --lr_dir= --key_dir= --target_dir= --model_dir=experiments/bix4_keyvsrc_attn --restore_file=pretrained --file_fmt=<file format eg., "%08d.png">
i want these paths right -path of LR,Key and ground-truth .
can you please share the dataset link from where i download .
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