I tried to sort out the objects from the image of the steak set meal-① Object detection

Introduction

Previously, I performed object detection using OpenCV, but how much difference is there in accuracy because there is a library named Selective Search? I tried to compare.

Also, previously I tried another method after reviewing the environment construction that I didn't understand very much. So it's a little different.

In addition, when I tried it, Selective Search does not work properly because the function is different in Python3.

Selective Search

Selective Search

Plagiarism

I tried using Selective search as R-CNN

environment

Build

With previous

Updated to latest

brew update

tap

brew tap homebrew/python
brew tap homebrew/science

Python installation

brew install python

Check the path

which python
/usr/local/bin/python ※1

• 1 In case of / usr / bin / python, please give it through PATH.
• If it is not reflected, try restarting the console.

PATH setting

.zshrc

if [ -d $(brew --prefix)/lib/python2.7/site-packages ];then
  export PYTHONPATH=$(brew --prefix)/lib/python2.7/site-packages:$PYTHONPAT
fi

Check version

python
Python 2.7.13 (default, Apr  4 2017, 08:46:44) 
[GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.42.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>

Different from here

Put a link in Applications

brew linkapps

install pip

easy_install pip

Update setuptools to the latest version

pip install --upgrade setuptools

Update pip to the latest version

pip install --upgrade pip

Install OpenCV3

pip install opencv-python

Install NumPy

pip install numpy

Install MatplotLib

pip install matplotlib

Install Selective Search

pip install selectivesearch

Comparison

image

This time I will use this steak set meal. Use Previous as the source code for comparing object detection.

• Please note that the number of return values of findContours differs depending on the version of OpenCV. (http://amazarashi.me/archives/752)

Selective Search source code

I tried using Selective search as R-CNN is used as it is.

grouping_image.py

import cv2
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import selectivesearch

def main():
        # loading lena image
    img = cv2.imread("{Image path}")

    # perform selective search
    img_lbl, regions = selectivesearch.selective_search(
        img, scale=500, sigma=0.9, min_size=10)

    candidates = set()
    for r in regions:
        # excluding same rectangle (with different segments)
        if r['rect'] in candidates:
            continue
        # excluding regions smaller than 2000 pixels
        if r['size'] < 2000:
            continue
        # distorted rects
        x, y, w, h = r['rect']
        if w / h > 1.2 or h / w > 1.2:
            continue
        candidates.add(r['rect'])

    # draw rectangles on the original image
    fig, ax = plt.subplots(ncols=1, nrows=1, figsize=(6, 6))
    ax.imshow(img)
    for x, y, w, h in candidates:
        print(x, y, w, h)
        rect = mpatches.Rectangle(
            (x, y), w, h, fill=False, edgecolor='red', linewidth=1)
        ax.add_patch(rect)

        cv2.imwrite('{Directory path}' + str(x) + '.jpg', img[y:y + h, x:x + w])

    plt.show()

if __name__ == "__main__":
    main()

result

Compare how many dishes, foods and seasonings can be contoured. As for the level, I'm strict about it because it can be extracted for one bowl or plate.

Normal case

Two

For Selective Search

5

Impressions

--Selective Search was more accurate. ――Even in Selective Search, the meat was not detected cleanly even though it was a steak set meal.

――Is it doing various processing? Selective Search took some speed (about 10 seconds?). ――The functions are quite different depending on the version of Python or OpenCV, which is troublesome. ――I don't feel like I can write Python or OpenCV from scratch in spite of doing various things.

All page links

-I tried object detection using Python and OpenCV -I tried to sort out objects from the image of steak set meal-① Object detection -I tried to sort out the objects from the image of the steak set meal-② Overlap number sorting -I tried to sort out the objects from the image of the steak set meal-③ Similar image heat map detection -I tried to sort out the objects from the image of the steak set meal-④ Clustering -I tried to sort out objects from the image of steak set meal-⑤ Similar image feature point detection edition