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Face-Tracking-Using-CNN-and-Optical-Flow
Official implementation for paper "A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow for Internet of Things" using C++SVM-classification-localization
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMSPCN-ncnn
PCN based on ncnn framework.Stabilized-Face-Detection-Bbox
Based on Onet to stabilize Face Detection BoundingBox. Fast, Smooth.Face-Attributes-MultiTask-Classification
Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data setsC-OF
Official implementation for paper "A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow for Internet of Things" using pytorchTensorflow-preprocessing-training-testing
(non-distribution & distribution) Use Tensorflow to do classification containing data preparation, training, testing.(single computer single GPU & single computer multi-GPU & multi-computer multi-GPU)Easy-LAB
Look at Boundary: A Boundary-Aware Face Alignment AlgorithmDetect-QRS-HRV-HR-from-standard-ECG-signal
Object-Classification-of-Mapping-Features
CRNN-Keras-Enable_eager_execution
Use-Python-to-call-Caffe-module
Use-Python-to-call-Caffe-moduleImage-Pre-Classification
Extracting Hist Features to do Image Classification using Decision Tree or Random Forest or AdaboostTensorflow-SSD
Tensorflow-SSD-preprocessing-training-testingSemi-Automatic-Crawling-CSDN-Articles
半自动化爬取CSDN文章BK_Tree
CTCDecoder
ctc decoderMerge-Batchnorm-layer-with-Convolution-layer
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