saves output images in different color

[NarenZen]

this block of code saves the images in different color: https://github.com/ultralytics/yolov5/blob/cd35a009ba964331abccd30f6fa0614224105d39/models/common.py#L368

Here is the output

[github-actions[bot]]

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[glenn-jocher]

@NarenZen your workflow is incorrect. See PyTorch Hub tutorial for correct workflow examples.

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[NarenZen]

@glenn-jocher Found the issue

while giving the input to the model., reading the image should be done by this way img = cv2.imread("6.png")[:,:,::-1]

Here is the source image:

When the input is the path., it comes out with correct color(yellow)., but when the input is in numpy array., the umbrella changes to blue color

Here is code which takes input as image path:

import torch

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # or yolov5m, yolov5l, yolov5x, custom

# Images
img = "6.png"

# Inference
results = model(img)

# Results
results.save()

Here is code which takes input as numpy array:

import torch
import cv2

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # or yolov5m, yolov5l, yolov5x, custom

# Images
img = cv2.imread("6.png")

# Inference
results = model(img)

# Results
results.save()

Here is the fix:

import torch
import cv2

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # or yolov5m, yolov5l, yolov5x, custom

# Images
img = cv2.imread("6.png")[:,:,::-1]

# Inference
results = model(img)

# Results
results.save()

[glenn-jocher]

@NarenZen like I said, your workflow is incorrect, and my previous comment points you to the tutorial that contains the correct workflow.

[github-actions[bot]]

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