Pinned Repositories
2017_IPIU
2018_igrss_LIDARdata
5th in the 2018 IGRSS competition LIDAR using VGG and RF for image classification
BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ
datachange
voc_yolo_coco
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
efficient_person
face_rescognition
facelandmark
livenet
person_detection_track
zhangxiaohuixuhao's Repositories
zhangxiaohuixuhao/2018_igrss_LIDARdata
5th in the 2018 IGRSS competition LIDAR using VGG and RF for image classification
zhangxiaohuixuhao/face_rescognition
zhangxiaohuixuhao/person_detection_track
zhangxiaohuixuhao/2017_IPIU
zhangxiaohuixuhao/BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ
zhangxiaohuixuhao/datachange
voc_yolo_coco
zhangxiaohuixuhao/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
zhangxiaohuixuhao/efficient_person
zhangxiaohuixuhao/facelandmark
zhangxiaohuixuhao/livenet
zhangxiaohuixuhao/Mask_face_recognitionZ
zhangxiaohuixuhao/micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
zhangxiaohuixuhao/pes_dist
zhangxiaohuixuhao/Pruned-YOLO
Using model pruning method to obtain compact models Pruned-YOLOv5 based on YOLOv5.
zhangxiaohuixuhao/Real-ESRGAN-xintao
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
zhangxiaohuixuhao/underwater_detection
zhangxiaohuixuhao/zhangxiaohuixuhao
Config files for my GitHub profile.