YOLOX YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. For more details, please refer to our report on Arxiv. Comming soon [ ] YOLOX-P6 and larger model. [ ] Objects365 pretrain. [ ] Transformer modules. [ ] More features in need. Benchmark Standard Models. Light Models. Quick Start Installation Step1. Install YOLOX. git clone [email protected]:Megvii-BaseDetection/YOLOX.git cd YOLOX pip3 install -U pip && pip3 […]

CTSpine1K Note that for VerSe dataset partially visible vertebrae at the top or bottom of the scan (or both) were not annotated, while CTSpine1K annotated them, which caused the situation that in our previous-version paper the reported dice value on VerSe dataset is much lower than on CTSpine1K dataset (0.619 VS 0.840). Therefore, we annotated all visible vertebrea (see figure below) and recalculated the metrics(0.766 VS 0.840). We have updated our paper on arxiv and uploaded the completed annotations for […]

SAP-HANA-AutoML Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Science tasks. Disclaimer This library is an open-source research project and is not part of any official SAP products. What’s this? This is a simple but accurate Automated Machine Learning library. Based on SAP HANA powerful in-memory algorithms, it provides high accuracy in multiple machine learning tasks. Our library also uses numerous data preprocessing functions to automate routine […]

Endocv2021-winner This is the winning solution of the Endocv-2021 grand challange. Dependencies pytorch # tested with 1.7 and 1.8 torchvision tqdm pandas numpy albumentations # for augmentations torchsummary segmentation_models_pytorch # for basic segmentaion models pyra_pytorch # pyra_pytorch.PYRADatasetFromDF is used. But this can be replaced with normal pytorch dataset. Tri-Unet Block diagram of Tri-Unet How to train Tri-Unet and other basic models to DivergentNet? # To train Tri-unet python tri_unet.py train –num_epochs 2 –device_id 0 –train_CSVs sample_CSV_files/C1.csv sample_CSV_files/C1.csv –val_CSVs sample_CSV_files/C2.csv sample_CSV_files/C3.csv […]

S2VC Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations. In this paper, we proposed S2VC which utilizes Self-Supervised pretrained representation to provide the latent phonetic structure of the utterance from the source speaker and the spectral features of the utterance from the target speaker. The following is the overall model architecture. For the audio samples, please refer to our demo page. Usage You can download the pretrained model as well […]

Yolov5_DeepSort_Pytorch Real-time multi-object tracker using YOLO v5 and deep sort This repository contains a two-stage-tracker. The detections generated by YOLOv5, a family of object detection architectures and models pretrained on the COCO dataset, are passed to a Deep Sort algorithm which tracks the objects. It can track any object that your Yolov5 model was trained to detect. Before you run the tracker Clone the repository recursively: git clone –recurse-submodules https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch.git If you already cloned and forgot to use –recurse-submodules you […]