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How to Fix a Wrong Occurred When I Import cv2

How to Fix a Wrong Occurred When I Import cv2

How to Fix a Wrong Occurred When I Import cv2

I’m working on a computer‑vision feature for a client’s project when I ran into a frustrating roadblock. In a fresh Jupyter Notebook cell, I typed:

import cv2

and immediately hit this error:

ImportError: cannot import name _registerMatType from cv2.cv2

I’ll walk you through exactly how I reproduced the issue, what it means, how I fixed it, and then share some handy OpenCV snippets to try once your import is back on track.

Define the Minimal Code & Error

Here’s the smallest script that still shows the problem:

# minimal_cv2_test.py

try:
import cv2
print(f"OpenCV version: {cv2.__version__}")
except ImportError as e:
print("Failed to import cv2!")
print(e)

When I run it, I see:

Failed to import cv2!
cannot import name '_registerMatType' from 'cv2.cv2'
(D:\Anaconda3\lib\site-packages\cv2\cv2.cp38-win_amd64.pyd)

How This Happened

I opened my client’s Jupyter environment (Python 3.8 via Anaconda), tried to pull in OpenCV, and boom Python couldn’t find a symbol inside the compiled cv2 extension. It looked like a mismatch between the installed OpenCV wheel and my interpreter.

What I’ve Tried

  1. Uninstall both opencv-python and opencv-contrib-python.
  2. Reinstall with pip install opencv-python.
  3. Restart the Jupyter kernel and even my entire machine.

Nothing brought back a clean import cv2.

What the Error Means

Steps I Took to Fix It

import sys
print(sys.executable)
pip uninstall opencv-python opencv-contrib-python
conda remove --force opencv-python
pip install --no-cache-dir opencv-python
pip install opencv-contrib-python
OpenCV version: 4.7.0

Practice: Useful OpenCV Snippets

Once import cv2 works, here are a few small projects you can try:

a) Read, Display & Save an Image

import cv2

img = cv2.imread('input.jpg') # 1. Read
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 2. Grayscale

cv2.imshow('Original', img) # 3. Display
cv2.imshow('Grayscale', gray)
cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.imwrite('output_gray.jpg', gray) # 4. Save

b) Draw Shapes & Text

import numpy as np

canvas = 255 * np.ones((300, 500, 3), dtype='uint8')
cv2.rectangle(canvas, (50, 50), (250, 200), (255, 0, 0), 3) # Blue rectangle
cv2.circle(canvas, (400, 150), 50, (0, 255, 0), -1) # Filled green circle

cv2.putText(canvas, 'OpenCV Practice', (50, 280),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2) # Black text

cv2.imshow('Canvas', canvas)
cv2.waitKey(0)
cv2.destroyAllWindows()

c) Capture Video from Webcam

import cv2, time

cap = cv2.VideoCapture(0)
start = time.time()

while True:
ret, frame = cap.read()
if not ret:
break
cv2.imshow('Webcam Feed', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break

cap.release()
cv2.destroyAllWindows()
print(f"Session Duration: {time.time() - start:.2f} seconds")

d) Edge Detection

img = cv2.imread('input.jpg', cv2.IMREAD_GRAYSCALE)
edges = cv2.Canny(img, threshold1=50, threshold2=150)

cv2.imshow('Edges', edges)
cv2.waitKey(0)
cv2.destroyAllWindows()

Final Thought

Import errors can feel like a dead end, but they usually trace back to mismatched binaries or leftover install artifacts. A clean uninstall/reinstall matched to your exact Python environment almost always resolves the issue. Once you clear this hurdle, OpenCV becomes an incredibly powerful toolkit for image processing, vision tasks, and all kinds of creative computer‑vision work.

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