buyiasd's repositories
YOLOv3-Plate-Detection
A Python/TensorFlow implementation of YOLOv3 for license plate detection
keras
Deep Learning for humans
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
models
A collection of pre-trained, state-of-the-art models in the ONNX format
keras-YOLOv3-model-set
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
tensorflow-yolov3
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
github-actions-youtube-dl
使用 GitHub Actions 下载 YouTube 最高画质视频,并自动发布到 Release。
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
keras-contrib
Keras community contributions
Face-detection-with-mobilenet-ssd
Face detection with mobilenet-ssd written by tf.keras.
ResNet18-Weights
ImageNet Weights for ResNet18 along with its architecture.
CCPD
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
keras-applications
Reference implementations of popular deep learning models.
classification_models
Classification models trained on ImageNet. Keras.
SfmLearner-Pytorch
Pytorch version of SfmLearner from Tinghui Zhou et al.
CPD
Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
OMCNN_2CLSTM
The model of "DeepVS: A Deep Learning Based Video Saliency Prediction Approach" (ECCV2018
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
densefuse_pytorch
Image fusion via an autoencoder with dense-conv-block. (Pytorch)
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
geomapnet
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
EGNet
EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)
SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
pykitti
Python tools for working with KITTI data.
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.