Pinned Repositories
Activity
Agni_shedule
basic-yolo-keras
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
CameraManagerCore
Concurrent_factorization
Concurrency read write
mmdetection
Open MMLab Detection Toolbox and Benchmark
onvif_wrapper
PolymorphismTests
reid_template
repulsion_loss
JegernOUTT's Repositories
JegernOUTT/mmdetection
Open MMLab Detection Toolbox and Benchmark
JegernOUTT/repulsion_loss
JegernOUTT/PolymorphismTests
JegernOUTT/basic-yolo-keras
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
JegernOUTT/CameraManagerCore
JegernOUTT/Agni_shedule
JegernOUTT/Concurrent_factorization
Concurrency read write
JegernOUTT/onvif_wrapper
JegernOUTT/Activity
JegernOUTT/reid_template
JegernOUTT/Basic-Activities
JegernOUTT/Big_sort
JegernOUTT/Camera_handler
JegernOUTT/Deque
Deque made with simple array
JegernOUTT/either_cpp
JegernOUTT/horus
3D Scanning multiplatform desktop application
JegernOUTT/keras-retinanet
Keras implementation of RetinaNet object detection.
JegernOUTT/keras-yolo3
Training and Detecting Objects with YOLO3
JegernOUTT/lacmus
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
JegernOUTT/MultithreadedObserver
C++11/14 observer multithreaded implementation
JegernOUTT/object_detector
JegernOUTT/onnxmltools
ONNXMLTools enables conversion of models to ONNX. Currently supports Keras, CoreML, LightGBM and Scikit-Learn
JegernOUTT/Point
JegernOUTT/PyramidNet-PyTorch
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
JegernOUTT/pytorch-lr-finder
A learning rate range test implementation in PyTorch
JegernOUTT/reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
JegernOUTT/Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
JegernOUTT/Synchronization_methods
Some functions is emulating thread features in c++11 standart thread library
JegernOUTT/TMMiniOS
JegernOUTT/yolo3_pytorch