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Vision Processing

OpenCV & Python & TensorFlow & Keras

I. Dehazing to Object Detection (Human & Fire) (TODO)

i. Image Processing with OpenCV

Human detection with RPi Github

HOG detectMultiScale Korean, English

Dark Channel Prior Github, Paper

ii. Deep Learning

A. Dataset Reference

a. RESIDE: V0 (REalistic Single Image DEhazing), Paper (arXiv), Paper (IEEE)

b. I-Haze, Paper (arXiv)

c. D-Hazy(X), Paper (IEEE)

d. O-Haze Paper (arXiv)

iii. Challenge

NTIRE2018

II. Vanishing Point to Control Posture

Image Processing

III. Depth to Obstacle Avoidance (TODO)

i. Deep Learning

A. Dataset

a. NYU Dataset V1, Paper

b. NYU Dataset V2, Paper

How to read NYU mat file with python Korean Blog

Packages scikit-image matplotlib

> pip install scikit-image
> python -m pip install -U matplotlib

Change Code for Windows/OS X Github issue

import skimage.io as io

to

import matplotlib
matplotlib.use('TkAgg')
from skimage import io
io.use_plugin('matplotlib')

c. RGBD Dataset Reference

B. Model

a. FCRN Paper (arXiv), Github

IV. Optical Character Recognition to Path Planning (TODO)

i. Tesseract Github, Demo

A. pytesseract Github, pip

> pip install pytesseract

B. Install Windows Version Github, Download

Tesseract training Github

Variable-size Graph Specification Language (VGSL) Github

StreetView Tensorflow Recurrent End-to-End Transcription (STREET) Github

OCR Korean Korean Blog

Remove spaces Korean Blog

Once you change the route, you need to turn off and restart Pycharm.

Remove special characters Korean Blog

Tesseract Optimal conditions Korean Blog

Color Reversal Korean Blog

image = cv2.bitwise_not(input_image)

Resize Korean Blog

image = cv2.resize(input_image, dsize=(0, 0), fx=0.3, fy=0.7, interpolation=cv2.INTER_LINEAR)

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V. Install

i. Install OpenCV on Computer

ii. Install OpenCV on Raspberry Pi

iii. Install TensorFlow CPU on Computer

iv. Install TensorFlow GPU on Computer

v. Install & Uninstall TensorFlow on Raspberry Pi

vi. Install Keras

vii. Install Keras Reinforcement Learning

viii. Install Pytorch

ix. Install Theano

x. Virtual Environment with Conda