Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
simple-faster-rcnn-pytorch
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| Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | simple-faster-rcnn-pytorch | |
|---|---|---|
| 8 | 1 | |
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| - | - | |
| 3.6 | 0.0 | |
| about 3 years ago | almost 3 years ago | |
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| MIT License | GNU General Public License v3.0 or later |
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
simple-faster-rcnn-pytorch
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ISO Easy to Modify and Use Faster RCNN PyTorch Implementation
Hi all, as the title suggests I'm looking for a GitHub repo where I can edit a Faster RCNN implementation rather easily. I'm basically looking to test an idea where I have multiple branches with feature map and bounding boxes as inputs. I've modified the built-in torchvision implementation once before, but I think it's a little more complicated than I like, and I'd rather not release the entire torchvision package as part of my own work in the future. I have looked briefly into this repo https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/master/trainer.py but it only supports a batch size of 1, and I'm not sure what it'd take to expand that capability. Is there anything better out there?
What are some alternatives?
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Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
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automl - Google Brain AutoML
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OwnPhotos - Self hosted alternative to Google Photos
NYU-DLSP20 - NYU Deep Learning Spring 2020
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
opencv - Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad