SpencerKaiser
/ CreatePixelBuffer.swift
Last active
May 25, 2021 13:53
Swift implementation of a DJI-provided sample to convert vc_pixelbuffer_fastupload to a usable CVPixelBuffer
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| func createPixelBuffer(fromFrame frame: VideoFrameYUV) -> CVPixelBuffer? { | |
| var initialPixelBuffer: CVPixelBuffer? | |
| let _: CVReturn = CVPixelBufferCreate(kCFAllocatorDefault, Int(frame.width), Int(frame.height), kCVPixelFormatType_420YpCbCr8Planar, nil, &initialPixelBuffer) | |
| guard let pixelBuffer = initialPixelBuffer, | |
| CVPixelBufferLockBaseAddress(pixelBuffer, []) == kCVReturnSuccess | |
| else { | |
| return nil | |
| } | |
wassname
/ jaccard_coef_loss.py
Last active
January 30, 2024 15:45
jaccard_coef_loss for keras. This loss is usefull when you have unbalanced classes within a sample such as segmenting each pixel of an image. For example you are trying to predict if each pixel is cat, dog, or background. You may have 80% background, 10% dog, and 10% cat. Should a model that predicts 100% background be 80% right, or 30%? Categor…
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| from keras import backend as K | |
| def jaccard_distance_loss(y_true, y_pred, smooth=100): | |
| """ | |
| Jaccard = (|X & Y|)/ (|X|+ |Y| - |X & Y|) | |
| = sum(|A*B|)/(sum(|A|)+sum(|B|)-sum(|A*B|)) | |
| The jaccard distance loss is usefull for unbalanced datasets. This has been | |
| shifted so it converges on 0 and is smoothed to avoid exploding or disapearing | |
| gradient. |
ravnoor
/ Keras.ipynb
Created
April 24, 2017 02:38
— forked from prhbrt/Keras.ipynb
V-Net in Keras and tensorflow
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.