Daliang's repositories
Calculating-intrinsic-parameters-of-a-camera
Figure 2 shows an image of the checkerboard, where XY Z is the world coordinate and xy is marked as the image coordinate. The edge length of each grid on the checkerboard is 10mm in reality. Suppose one pixel of the image is equivalent to 1mm. You can calculate the projection matrix from world coordinate to image coordinate based on the 32 marked points on the checkerboard. From the projection matrix you can get the intrinsic matrix.
Camera_calibration_master
an example of Camera Calibration with python
DCIC22_SAR_ship_detection
👁 2022年数字**创新大赛 (DCIC 2022) 卫星应用赛题——海上船舶智能检测
deformable-attention
Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"
DETReg
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
match-template-demo
Demo of finding objects within an image using OpenCV Template Matching
MobileFaceNet
PyTorch implementation of MobileFaceNets
object-tracker-gbr
Object tracker based on template-matching developed for the Great Barrier Reef Kaggle competition
sahi
A lightweight vision library for performing large scale object detection/ instance segmentation.
sift_matching
SIFT based feature matching for image localization
SimpleCVReproduction
:punch: Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
SNN
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
SNN_Calibration
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
Template-Matching
Convolution & Cross Correlation
Template-Matching-2
Implementation of template matching algorithm.
TemplateMatcher
Scale and rotation invariant template matcher
trivialaugment
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
Weighted-Boxes-Fusion-implementation
Weighted-Boxes-Fusion method implementation with YOLOv4 and YOLOv5
yolov5
improvement research based on YOLOV5,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yoltv5
YOLT, now with PyTorch.
Zhang-s-Camera-Calibration-AutoCalib
Implementation of Zhang's Camera Calibration Method