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## I install used the source code
I installed successfully before I execute git pull commond
after I execute the git pull, error occured
```sh
$ sudo python setup.py install
[sudo] password for w…
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I prepared my datasets and resized image to 768 x 512 for training to car and pedestrian network's model simutaneously,then the result's is that pedestrian's detection is good,but the majority bigger …
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I evaluated the performance of your uploaded model on the val split (3769 images) and got the following results:
_car_detection_ground AP: 83.374908 82.937012 75.748917
car_detection_3d AP: 78.14225…
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ChatGPT proposed the following lists of datasets:
(50/50)
KITTI
Waymo Open Dataset
BDD100K
ApolloScape
nuScenes
Cityscapes
Mapillary Vistas
BOSCH Small Traffic Lights
Oxford RobotCar
Argo…
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does anyone train the PyTorch-YOLOv3 on pedestrian detection data sets (e.g., Caltech)?
or train the network just for VOC or COCO datasets 's person class ?
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Hi,
I have a general question. In the VOC and COCO datasets there are some classes (e.g., 20 or 80 classes (person, car, horse, etc.) for object detection). If one train the network just for one clas…
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related paper
|abstract|
|---|
|Pedestrian detection is a key problem in computer vision, with several applications including robotics, surveillance and automotive safety. Much of the progress of…
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Hi! Could you please tell me how can I use ByteTrack or QDTrack to implement multi-classes MOT? It seems that the existing configurations are only for one-class(pedestrian).
I wonder if my customized…
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* Name of dataset: Caltech Pedestrian Detection Benchmark
* URL of dataset: http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/
* License of dataset: Unknown
* Short description of dat…
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Hi, thank you for your attention.I trained 3712 training examples and evaluated 3769 validation examples according to the parameters given in your paper.I got results worse than centernet.Does anyone …