papabiceps's profile - activity

Learning the background model using images I have a set of images of a scene taken under slightly changing lighting cond

How warp an image without cv2.remap cropping it. Related question: https://stackoverflow.com/questions/53907633/how-to-w

See the link posted on top, for further info.

How warp an image without cv2.remap cropping it. Related question: https://stackoverflow.com/questions/53907633/how-to-w

xs = xs.reshape(nh, nw).astype(np.float32) ys = ys.reshape(nh, nw).astype(np.float32) doing this before passing the

I just tried, it throws the same error.

Assertion failed error when using cv2.remap() I'm trying to generate "crumpled" images using images obtained from a fla

I think its better if you open a new question.

Any ideas on how to automatically order vertices instead of manually ordering them.

No, they don't. I have checked just now. These are the outputs of olp_pts and new_pts respectively. [[163. 14.] [3

I think the order of the points old_pts and new_pts are wrong. I tried flipping them over x-axis and tried all combinati

I think I'm the order of the points old_pts and new_pts are wrong. I tried flipping them over x-axis and tried all combi

Wrong perspective transform I'm trying to do perspective transform of an image to realign the perspective. This is the i

I want to find the length of an object in the image (image length not the real physical length). My first idea is was to use boundingRect to find the dimensions, but some of the masks I have split in between them so the boundingRect method fails. Can someone suggest me a robust method to find the length of the object in the given mask

Example mask with split:

Elegant Solution !!

I have got a simple solution for this problem, I will update tomorrow.

How to find dimensions of an object in the image I want to find the length of an object in the image (image length not t

Ofcourse, training from scratch doesn't sense when you have small dataset. Thank you for your inputs.

My first idea was to try using deep learning but I don't have enough training images.

Segmenting an image with similar background color. I have an image with similar background color and foregorund color. I

Foreground segmentation when background and subject have nearly identical colour I have an image that has background and

I have a video from drone. I want to delete the part of video that has takeoff included. I want to retain the part where the drone is flying. Can someone suggest a method in OpenCV to achieve this ?

trimming the video isn't the issue, I want to automate the process using OpenCV. I want to find from which frame the dro

How to trim a video based on a condition I have a video from drone. I want to delete the part of video that has takeoff

How to trim a video based on a condition I have a video from drone. I want to delete the part of video that has takeoff

How to trim a video based on a condition I have a video from drone. I want to delete the part of video that has takeoff

I'm trying to run a code that does template matching. I'm getting assertion failed error on cvtColor function.

Here is the error.

OpenCV Error: Assertion failed (scn == 3 || scn == 4) in cvtColor, file /home/travis/miniconda/conda-
bld/conda_1485299292920/work/opencv-3.2.0/modules/imgproc/src/color.cpp, line 9748
Traceback (most recent call last):
File "opencv_basics.py", line 60, in <module>
img_gray = cv2.cvtColor(img_rgb,cv2.COLOR_BGR2GRAY)
cv2.error: /home/travis/miniconda/conda-bld/conda_1485299292920/work/opencv-
3.2.0/modules/imgproc/src/color.cpp:9748: error: (-215) scn == 3 || scn == 4 in function cvtColor

Here is the code I'm trying to run.

import cv2
import numpy as np

img_rgb = cv2.imread('template.jpg')
img_gray = cv2.cvtColor(img_rgb,cv2.COLOR_BGR2GRAY)

template = cv2.imread('opencv-template-for-matching.jpg',0)
w, h = template.shape[::-1]

res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED)
threshold = 0.8
loc = np.where( res >= threshold)

for pt in zip(*loc[::-1]):
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2)

cv2.imshow('Detected',img_rgb)

How can I be so..... It was in the wrong path.

So I found out that the image is not getting loaded. What am I supposed to do? I checked the path, the image is there, b

So I found out that the image is not getting loaded. What am I supposed to do?

OpenCV Error: Assertion failed (scn == 3 || scn == 4) in cvtColor, I'm trying to run a code that does template matching.