Comments (2)
Great to find your repo, @antoine77340!
I have 3 questions for you to answer:
1. The shape of my .npy file is (66, 2048), 66 is calculated as the total number of frames in the video divided by the batch size right? 2. The output shape I want is (10, 66, 2048), 10 is 10 crops argumentation, can you tell me how to do it? 3. If I want to change the resnet101 model to the resnet50 model, what components do I need to change in your repo?
Thank you so much!
can you provide me csv file you have genrated
from video_feature_extractor.
Very sorry for the late reply:
- 66 is the number of feature per video. Since they are extracted at one feature per second, it should mean your video was 66 seconds right?
- The is no implementation of crop augmentation here, so just one single center crop.
- Do you mean changing the ResNext 101? you can do it here: https://github.com/antoine77340/video_feature_extractor/blob/master/model.py#L25
from video_feature_extractor.
Related Issues (20)
- How can i make csv form i got video path key error !!!!!
- Decoding video - ffprobe failed at: HOT 12
- .
- Features translation HOT 1
- video
- multi view feature extraction
- I3D or C3D? HOT 7
- same dimensional feature output for all input videos of different lengths HOT 1
- Running fine but feature file not there HOT 1
- Convert numpy to classes (label)
- please advice on the feature
- extract.py gives errors
- Error when runing "python extract.py --csv=input.csv --type=2d --batch_size=64 --num_decoding_thread=1" on windows and linux HOT 5
- Question about input
- Question on output dimension HOT 2
- 3D ReNext101 Feature HOT 3
- Can I extract 3D features per frame? HOT 2
- Data doesn't store properly HOT 8
- regarding requirements HOT 2
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from video_feature_extractor.