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Alexey, I'd like to flesh out some of the entries on this page: https://www.ccoderun.ca/darkmark/Configuration.html#ConfigNew
Specifically, some of the ones from the "new" table without any commen…
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@Tianxiaomo Hi,
* Did you check accuracy of YOLOv4 by using your implementation, do you get the same 43.5% AP (65.7% AP50) for yolov4.cfg 608x608 on MS COCO testdev?
* Did you check, do you ge…
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I am training a model for deployment on an edge device, and the model needs to detect 6 classes (person, bicycle, e-bike with pedal, e-bike without pedal, scooter, wheelchair) in a variety of environm…
lpkoh updated
2 years ago
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In our object detection model, there's 2 classes: Paper and Plastic. How can I show the average precision of paper and plastic separately and their mAP?
what exception? All I get is mAP, P, R, etc.…
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Thanks for your brilliant work. Could you provide more training details? In your paper you mentioned that to fully train a model, you first train from scratch then use data augmentation whose details …
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Question
I have the video I want to detect the person moving in Greeny.
Can anybody help me detect them?
I have encircled the person i want to detect in image.
![7963d20e-0f13-456e-8a60-7b1110…
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Is there an example (or any hints/instructions) on how to do transfer learning with the pytorch code provided in this repo?
I understand that using darknet/partial works, but I'm interested in a py…
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## Introduction
For a personal project I'd like to detect **cars**, **busses**, **trucks** and their **license plates**. To accomplish this I wanted to train a custom model using YoloV4 with this r…
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Hi
excuse to ask you a question:
File "/home/czhan14x/train_project/ScaledYOLOv4/models/yolo.py", line 141, in _initialize_biases
b[:, 4] += math.log(8 / (640 / s) ** 2) # obj (8 objects p…