mmdetection3d
medicaldetectiontoolkit
| mmdetection3d | medicaldetectiontoolkit | |
|---|---|---|
| 3 | 2 | |
| 4,815 | 1,269 | |
| 2.2% | 0.3% | |
| 7.1 | 0.0 | |
| 12 days ago | 29 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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mmdetection3d
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What's the best model to get monocular 3d angle info
There are bunch of methods in this codebase, check it out. https://github.com/open-mmlab/mmdetection3d
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMDetection3D: OpenMMLab's next-generation platform for general 3D object detection.
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Master thesis on autonomous vehicles (cybersecurity aspect)
You create and test the attacks on datasets like Kitti, NuScenes, and many others. Basically you try to manipulate the input to a certain detection pipeline for example (You can find a lot of LiDAR and camera based detection pipelines here: https://github.com/open-mmlab/mmdetection3d and here https://github.com/open-mmlab/mmdetection). You try to manipulate the input so that it deceives the car to do what you need without having control to the car itself.
medicaldetectiontoolkit
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3D rcnn
Checkout https://github.com/MIC-DKFZ/medicaldetectiontoolkit, they have a recent 3d rcnn implementation. Their paper is a good start on the topic. Also have a look at nnDetection from the same group, it might provide some more leads. Hth
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3D Faster R-CNN for microscopy image analysis
I'm doing research in the area of biomedical image processing using deep learning. At the moment, I'm focused in the detection of biological structures in 3D microscopy images. For this task I trained a Faster R-CNN architecture, however I noticed that while the training loss is decreasing the validation loss is high, doesn't decrease and sometimes oscillates. When I looked at the results, the bounding boxes in the training and validation sets were too small but located at random spots. At first I thought that I should adjust the size of the anchors, however, even after trying different anchor sizes the results didn't improve. I would like to know if anyone has experience in working with 3D Faster R-CNN that could help me with suggestions for this project. (btw, I'm using the code available in this repo). Thanks in advance.
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
nnUNet
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
autogluon - Fast and Accurate ML in 3 Lines of Code
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]