darknet_ros | YOLO ROS : Real-Time Object Detection for ROS | Computer Vision library
kandi X-RAY | darknet_ros Summary
kandi X-RAY | darknet_ros Summary
This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. For more information about YOLO, Darknet, available training data and training YOLO see the following link: YOLO: Real-Time Object Detection. The YOLO packages have been tested under ROS Noetic and Ubuntu 20.04. Note: We also provide branches that work under ROS Melodic, ROS Foxy and ROS2. This is research code, expect that it changes often and any fitness for a particular purpose is disclaimed.
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QUESTION
As far as I know, only cameras can be used to test using darknet_ros. So, how can I test with mp4(video) file?
...ANSWER
Answered 2021-Sep-05 at 03:58The way darknet_ros
comes out of the box, you are correct. It subscribes to an sensor_msgs/Image
topic and uses that as input. If you're trying to use this with an mp4 file you need to get that file publishing out as a video over ros. Right now the best, and really only, way to do this is via an opencv package. You can use the provided launch file on that page and change the input file directory. After that all you need to do is remap the output topic so it connects to darknet_ros
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