Comments (7)
Yes, we could batch images through the model. Are you using cpu only or also GPU acceleration?
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how can we change FPS for Model prediction?
from fer.
Consider setting the save_fps
parameter to a number 2-25. This will only compute on the nth frame.
from fer.
thanks for answering but after changing save_fps parameter, i have to retrain the model ? and if i give save_fps=3 or 4 then will model get decrease its accuracy?
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Related Issues (20)
- FER not working with GPU HOT 9
- collab broken? HOT 2
- Having trouble for importing the library HOT 1
- Padding only applied to first bounding box if needed HOT 3
- ValueError: Tensor Tensor("conv2d_4/BiasAdd:0", shape=(?, ?, ?, 4), dtype=float32) is not an element of this graph. HOT 1
- Analysis for specific time interval of the video HOT 3
- Improve Processing time per frame in video while testing HOT 1
- video cropping HOT 1
- GPU usage of emotion classification HOT 2
- trouble with Video() with webcam HOT 1
- Face selection heuristic HOT 1
- 'Model' object has no attribute 'make_predict_function' HOT 10
- How can I get the timestamp data additionally? HOT 1
- the model was able to detect faces but cannot make the right bounding boxes around the face HOT 2
- cannot predict from images in jfif format HOT 1
- Batch processing
- accuracy measurement HOT 1
- unable to import FER from fer HOT 3
- Accuracy and Confusion Matrix of FER
- Logger progress bar bug.
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