ronixy's starred repositories
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
awesome-NeRF
A curated list of awesome neural radiance fields papers
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
CenterNet-better
An easy to understand and better performance version of CenterNet
awesome-depth
A curated list of publication for depth estimation
PENet_ICRA2021
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
yolo-face-with-landmark
yoloface大礼包 使用pytroch实现的基于yolov3的轻量级人脸检测(包含关键点)
Depth-Completion
🍀 Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."
Guided-Depth-Map-Super-resolution-A-Survey
Guided Depth Map Super-resolution: A Survey (ACM CSUR 2023)
TF_CenterNet
A pure TensorFlow implementation of CenterNet(Objects as Points)
3DVideos2Stereo
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
merged_depth
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models