Crop and Save YOLOv4 Object Detections | Custom YOLOv4 Functions with TensorFlow
Learn how to code your very own Custom Functions to work with YOLOv4 Object Detections! In this video I will walk-through a custom function I have created to crop and save YOLOv4 object detections as new images. This tutorial can be implemented using YOLOv4, YOLOv4-tiny, YOLOv3, or YOLOv3-tiny. The commands can be run using TensorFlow 2.0, TensorFlow Lite or TensorRT models on images, video and webcam!
#yolov4 #objectdetection #tensorflow
This video covers the implementation of YOLOv4 using TensorFlow and how to add a command line argument in order to activate the custom function for cropping of detections.
GET THE CODE HERE: https://github.com/theAIGuysCode/yolov4-custom-functions
Video Breakdown:
1. Cloning or Downloading the Code for the Tutorial
2. Running YOLOv4 Object Detector on Images using the custom crop flag
3. Show where the cropped new images are saved within the repository.
4. Running YOLOv4 Object Detector on Video using the custom crop flag
5. Explaining the code for the custom cropping function and how to edit it
--------------------------Resources---------------------------
Setting Up Custom Functions Repository and Running Object Counting Function: https://youtu.be/jDwC5m7c7BU
Train Your Own YOLOv4 Custom Object Detector in the Cloud: https://youtu.be/mmj3nxGT2YQ
Running Pre-trained YOLOv4 model with TensorFlow, TFLite, TensorRT: https://youtu.be/iPwepy-SVCQ
running Custom YOLOv4 License Plate Detector Model with TensorFlow, TFLite, TensorRT: https://www.youtube.com/watch?v=nOIVxi5yurE
The Official YOLOv4 paper: https://arxiv.org/abs/2004.10934
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Thanks so much for watching!
- The AI Guy
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