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I am seeking advice on the optimal approach for training an object detector using a dataset that may have missing objects.
Let's say my dataset, consists of images of cats and dogs. Approximately 3…
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import numpy as np
import albumentations as A
album=A.Compose([
A.Resize(height=64, width=64)
, A.RandomScale(p=1.0, scale_limit=(-0.5, 0.5))
],bbox_params=A.BboxParams(format="yolo", l…
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Hello, i trained the Yolo obb on custom data on colab but i did not get any predictions.
I used 20 images for train/ 6 for val/ 4 for test (this gave a good result when training the normal yolo witho…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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First of all great work! I have many traffics sign images which has been categorized in folders of name of their type.I need to know how can I setup my images for training means:
1. How can I make a…
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Currently after prediction on a dataset, the resulting output contains for each image, a dictionary "pred_instances", which has three members itself: labels, scores, and bboxes. I would like to get fo…
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./darknet detector demo cfg/coco.data cfg/yolov2.cfg yolo.weights -prefix 0
Give me error message saying like cannot load image "data/labels/126_1.png"
then showing a static image. What am I mis…
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Hi, @AlexeyAB .
I got different results by use `darknet.py` with **same** `*.cfg, *.weights, *.data, threshold(0.25) and test image` in the following two ways.
+ One
In command line, for ex…
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```python
import os
from PIL import Image
import matplotlib.pyplot as plt
import matplotlib.patches as patches
def plot_yolo_bounding_boxes(path_to_png, path_to_txt, category_map=None):
# …
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Traceback (most recent call last):
File "labelGo.py", line 1388, in auto_label
run(**vars(opt))
File "C:\Users\Law\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\autograd\gr…