lflyme's Stars
tanluren/yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
jamezilla/ats
ATS is a spectral modeling system based on a sinusoidal plus critical-band noise decomposition. Psychoacoustic processing informs the system's sinusoidal tracking and noise modeling algorithms. Perceptual Audio Coding (PAC) techniques such as Signal-to-Mask Ratio (SMR) evaluation are used to achieve perceptually accurate sinusoidal tracking. SMR values are also used as a psychoacoustic metric to determine the perceptual relevance of partials during analysis data postprocessing. The system's noise component is modeled using Bark-scale frequency warping and sub-band noise energy evaluation. Noise energy at the sub-bands is then distributed on a frame-by-frame basis among the partials resulting in a compact hybrid representation based on noise modulated sinusoidal trajectories.
laszukdawid/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
ewan-xu/AEC3
AEC3 Extracted From WebRTC
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
decanbay/YOLOv3-Calculate-Anchor-Boxes
This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it has 9 anchor boxes and image size is 608x608. For any issues pleas let me know
hhaAndroid/mmdetection-mini
mmdetection最小学习版
biubug6/Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
mepeichun/Efficient-Neural-Network-Bilibili
B站Efficient-Neural-Network学习分享的配套代码
vacancy/Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
clovaai/frostnet
FrostNet: Towards Quantization-Aware Network Architecture Search
Idein/nnoir
NN Optimization IR
ddbourgin/numpy-ml
Machine learning, in numpy
t0037799/INT8InferenceEngine
An inference engine for 8-bit quantized neural network
eleflea/PQDet
One stage object detection model based on YOLOv3, written in PyTorch.
ankitVP77/YOLOv3-KCF-Fast-Object-Tracker
A fast object tracking pipeline that uses a combination of YOLO's accurate detection and KCF's fast tracking to track a particular object from the Coco dataset
dog-qiuqiu/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
talebolano/yolov3-network-slimming
yolov3 network slimming剪枝的一种实现
joaofaro/KCFcpp
C++ Implementation of KCF Tracker
xiaochus/MobileNetV3
A Keras implementation of MobileNetV3.
qqwweee/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Lam1360/YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
Qidian213/deep_sort_yolov3
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
zisianw/FaceBoxes.PyTorch
A PyTorch Implementation of FaceBoxes
StevenBanama/HeadShoulder
Head Shoulder detection
Tianxiaomo/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
MTMC-DeeCamp2018/YOLOv3-Detection
detecting pedestrians using YOLOv3 (supporting images and videos)
AlphaQi/MTCNN-light
this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows