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dscha09 / dataset_to_tfrecord.py

Created January 9, 2019 05:54 — forked from saghiralfasly/dataset_to_tfrecord.py

Python script to create tfrecords from pascal VOC data set format (one class detection) for Object Detection API Tensorflow, where it divides dataset into (90% train.record and 10% test.record)

	import os
	import io
	import glob
	import hashlib
	import pandas as pd
	import xml.etree.ElementTree as ET
	import tensorflow as tf
	import random

	from PIL import Image

dscha09 / UninstallTensorFlow.txt

Created September 13, 2018 03:46 — forked from supriya-gdptl/UninstallTensorFlow.txt

Steps to uninstall tensorflow

	pip show tensorflow
	pip uninstall tensorflow

	# Tensorflow 1.4 works only with Python 3.5
	# to install downgrade Python 3.6 to Python 3.5 in Anaconda
	conda install python=3.5
	# now install tensorflow 1.4
	sudo apt-get install python3-pip python3-dev
	pip install tensorflow

dscha09 / opencv_webcam_multithread.py

Created September 7, 2018 10:43 — forked from allskyee/opencv_webcam_multithread.py

opencv python camera frame grab and display on different threads with safe synchronization

	#!/usr/bin/env python

	from threading import Thread, Lock
	import cv2

	class WebcamVideoStream :
	def __init__(self, src = 0, width = 320, height = 240) :
	self.stream = cv2.VideoCapture(src)
	self.stream.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, width)
	self.stream.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)

dscha09 / split-video-by-frame.py

Created August 20, 2018 09:41 — forked from keithweaver/split-video-by-frame.py

Using OpenCV takes a mp4 video and produces a number of images.

	'''
	Using OpenCV takes a mp4 video and produces a number of images.

	Requirements
	----
	You require OpenCV 3.2 to be installed.

	Run
	----
	Open the main.py and edit the path to the video. Then run: