jimmychang-jmc Goto Github PK

awesome-bev-perception-multi-cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

awesome-lane-detection

A paper list of lane detection.

bevformer

This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

btcdet

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

caffe-gbd

optimized caffe for GBD

cascade-ld

Lane detection and classification in an end-to-end Deep Learning fashion

centerpoint

Export CenterPoint PonintPillars ONNX Model For TensorRT

epro-pnp

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

jmc_onnx2caffe

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

onnx2caffe

pytorch to caffe by onnx

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

paper_notes

pyuds

PyUds

sn_onnx2caffe

onnx caffe

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library

thor

thor: C++ helper library, for deep learning purpose