Deleted unused files

drawImage/DrawBbox/DrawBbox.py

@@ -1,99 +0,0 @@
-#OpenCV module for bbox search
-import numpy as np
-import cv2
-from PIL import Image, ImageDraw
-import math
-import random
-import copy
-#JUST WINDOWS  aka binary
-
-#_-------Changed box drawing mode from vertical to with angle ------_#
-class Bbox:
-	def __init__(self):
-		self.bboxInfo = {}
-	def bubble_sort(self, items, numToReturn):
-		""" Implementation of bubble sort """
-		for i in range(len(items)):
-			for j in range(len(items)-1-i):
-					if items[j][1] < items[j+1][1]:
-						items[j], items[j+1] = items[j+1], items[j] 
-		return items[:numToReturn]
-	def filterBboxes(self):
-		for bboxObject in self.objects_to_bbox:
-			if self.class_ratio[bboxObject]<self.bbox_filter:
-				self.bboxInfo.pop(bboxObject)
-
-		
-	def drawLimitedObjects(self, segmented, raw, **kwargs):
-		num_to_draw = kwargs['numToDraw']
-		self.class_ratio = kwargs['classRatio']
-		self.bbox_filter = kwargs['bboxFilter']
-		self.objects_to_bbox = kwargs['classesToBbox']
-		listToDraw = []
-		self.filterBboxes()
-		keys = self.bboxInfo.keys()
-
-		for key in keys:
-			for x in range(self.bboxInfo[key].__len__()):
-				area = self.bboxInfo[key][x][4]
-				listToDraw.append([key, area, self.bboxInfo[key][x]])
-		listToDraw = self.bubble_sort(listToDraw, num_to_draw)
-		print listToDraw
-		segmentedImageRGB = np.array(segmented)
-		output_im = np.array(raw)
-
-		JSONCoords = {}
-		if num_to_draw>listToDraw.__len__():
-			num_to_draw = listToDraw.__len__()
-
-		for i in range(num_to_draw):
-			x1 = listToDraw[i][2][0]
-			y1 = listToDraw[i][2][1]
-			x2 = listToDraw[i][2][0] + listToDraw[i][2][2]
-			y2 = listToDraw[i][2][1] + listToDraw[i][2][3]
-			clr = listToDraw[i][2][5]
-			box = cv2.cv.BoxPoints(((listToDraw[i][2][0],listToDraw[i][2][1]),(listToDraw[i][2][2],listToDraw[i][2][3]),listToDraw[i][2][6])) # cv2.boxPoints(rect) for OpenCV 3.x
-			box = np.int0(box)
-			cv2.drawContours(segmentedImageRGB,[box],0,clr,2)
-			cv2.drawContours(output_im,[box],0,clr,2)
-
-		BboxedRawImage = Image.fromarray(output_im)
-		for x in range(num_to_draw):
-			listToDraw[x][2].pop()
-			listToDraw[x][2].pop()
-			if JSONCoords.has_key(listToDraw[x][0]):
-				JSONCoords[listToDraw[x][0]].append(listToDraw[x][2])
-			else:
-				JSONCoords[listToDraw[x][0]]=[listToDraw[x][2]]
-		BboxedImage = Image.fromarray(segmentedImageRGB)
-		return BboxedImage, BboxedRawImage, JSONCoords #image
-		
-
-
-
-
-	def findBbox(self, segmentedImageRGB, maskImage,  **kwargs):
-		objectName = kwargs['objectName']
-
-		maskImage = maskImage.convert("RGB")
-		imW,imH = segmentedImageRGB.size
-		open_cv_image = np.array(maskImage) 
-		open_cv_image = cv2.cvtColor(open_cv_image, cv2.COLOR_RGB2BGR)
-
-		imgray = cv2.cvtColor(open_cv_image,cv2.COLOR_BGR2GRAY)
-		ret,thresh = cv2.threshold(imgray,127,255,0)
-		contours, _ = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
-		self.bboxInfo[objectName] = [] #[[coords,clr],[coords,clr]]
-		bboxClr = (int(math.floor(random.random()*255)), int(math.floor(random.random()*255)), int(math.floor(random.random()*255)))
-		for c in contours:
-			rect = cv2.minAreaRect(c)
-			if (rect[1][0]*rect[1][1])<500: continue  
-			x = int(rect[0][0])
-			y = int(rect[0][1])
-			w = int(rect[1][0])
-			h = int(rect[1][1])
-			rotation = rect[2]
-			single_bbox_info = [x,y,w,h,w*h,bboxClr, rotation]
-			#Instrument to filter inner bboxes
-			if thresh[y][x]==0: continue
-			self.bboxInfo[objectName].append(single_bbox_info)

drawImage/DrawBbox/__init__.py

@@ -1 +0,0 @@
-from DrawBbox import *