pytorch-YOLOv4

pytorch-YOLOv4 copied to clipboard

have a problem when evaluate

16

`Epoch 1/200: 0%| | 0/660 [00:00

miT-Tim

RuntimeWarning: overflow encountered in multiply

6


gll-sketch

Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.2 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependabot[bot]

Weights - Licensing?

1

Hi, can I get clarification if the model weights hosted externally (e.g. Google Drive) are also covered under the Apache 2.0 license?

aws-stdun

UnpicklingError: invalid load key, '\x00'.

2

There is another error when I run on my own data: Traceback (most recent call last): File "train.py", line 616, in model = Yolov4(cfg.pretrained, n_classes=cfg.classes) File "D:\study\Dinosaour\pytorch-YOLOv4\models.py", line 426, in...

Juuustin

I trained a model for 50 epochs but the AP was still 0.002

23

## 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...

devedse

Difference between yolov4.pth and yolov4.conv.137.pth

3

Hi, are they just two different pretrained models, or they relate to each other?

Wilson0925

This PR improves the CLI interface by making the default values for the CLI arguments to be retrieved from the config file and adding the following CLI arguments: - batch_size:...

KKastberg

how to convert darknet .weight to pytorch .pt file

23

I have trained based on darknet-yolov4 and get .weight file. how can i convert it to pytorch .pth file. i have tried to use darknet2pytorch.py. i use the .pth and...

songzhifei

对于没有目标物体的图像，这种怎么放进训练集，ValuerError:Could not couvert string to float:''

2

我在使用自己的数据集进行训练时，将没有目标的图像也加入进训练集，但是执行时会报错： dataset.py: class Yolo_dataset(Dataset): def __init__(self, lable_path, cfg, train=True): super(Yolo_dataset, self).__init__() if cfg.mixup == 2: print("cutmix=1 - isn't supported for Detector") raise elif cfg.mixup == 2 and cfg.letter_box: print("Combination: letter_box=1...

martinkeith