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Hi, hoping for some discussion about **parametes setting for pedestrian/cyclist training.**
I have trying to train for pedestrian&cyclist detection task, and follwed the original paper set the stride…
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related paper
|摘要|
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|We propose a novel object detection framework for partially-occluded small instances, such as pedestrians in low resolution surveillance video, cells under a microscope,…
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Hi there,
I am currently using multiple OAK-d cameras on a mobile robot for pedestrian detection. I have used the Spatial Tiny-yolo example as a template and then publish detections on a ros topic …
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## Bug report
- AirSim Version/#commit: v.1.6.0 Windows
- UE/Unity version: PCD3D_SM5
- autopilot version: -
- OS Version: Windows 10
### What's the issue you encountered?
I…
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Sorry, I'm new to transitioning from 2D detection to 3D detection. As far as I know, the KITTI 3D dataset has a total of nine categories: Car, Van, Truck, Pedestrian, Person_sitting, Cyclist, Tram, Mi…
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Hi,
Thanks for sharing this great work. I train on train(3712) and evaluate on the val (3769) can only gain very low AP. Could you share your training log file so that I can trace the bugs.
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To better understand engagement with a space, the project should also be able to note the dwell time of each of trucks, cars, busses, pedestrians, cyclists etc. showing how long they engage with a spa…
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In `mytest.py` it seems to me that `calc_trkpt` helps you to find the next detection point using tracking. Are you storing tracklets somewhere to help you rebuild the complete track of each pedestrian…
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In 4.1, you guys say you use the improved training annotationsfrom [22] and test annotations from [25]. so the results you obtained is evaluated on **the improved test annotations** , but in Tab…
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Hello,
I want to track pedestrians using Rekall. So i am taking detections per-frame and comparing the iou of detections in the previous frame. I am using join to merge and update the intervals whi…