From 1d31a70704728a2b5a2e299b381dff955e0937f6 Mon Sep 17 00:00:00 2001
From: jnanesjwar das <jnanesjwar.das@gmail.com>
Date: Wed, 23 Nov 2016 17:00:22 -0500
Subject: [PATCH] refactoring names

---
 webclient/image_ops/labelSurvey.py | 126 -----------------------------
 1 file changed, 126 deletions(-)
 delete mode 100644 webclient/image_ops/labelSurvey.py

diff --git a/webclient/image_ops/labelSurvey.py b/webclient/image_ops/labelSurvey.py
deleted file mode 100644
index c197b29..0000000
--- a/webclient/image_ops/labelSurvey.py
+++ /dev/null
@@ -1,126 +0,0 @@
-from webclient.models import Image, ImageLabel, CategoryType
-from django.conf import settings
-from webclient.image_ops import convert_images
-from PIL import Image as PILImage
-from StringIO import StringIO
-import numpy as np
-import matplotlib.pyplot as plt
-import requests
-import urllib2
-from webclient.image_ops import convert_images
-
-def reportLabelStats(labelList):
-    result = []
-    for label in labelList:
-        vecAll = labelNParray(label)
-        imgParent = parentImageFromImageLabelDB(label)
-        result.append([imgParent, vecAll])
-    return result
-    
-def plotImageWithLabels(vecAll, imgParent):
-    dpi = 80.0
-    xpixels, ypixels = 1280, 1920
-    fig = plt.figure(figsize=(ypixels/dpi, xpixels/dpi), dpi=dpi)
-
-    plt.imshow(imgParent)
-    plt.hold('on')
-    plt.scatter(vecAll[:,0].astype(np.float)+vecAll[:,3].astype(np.float), vecAll[:,1].astype(np.float)+vecAll[:,4].astype(np.float), s=vecAll[:,2].astype(np.float)*vecAll[:,2].astype(np.float), facecolors='none', edgecolors='y', marker='o')
-    
-def labelNParray(label):
-    npArray = []
-    separatedPaths = convert_images.separatePaths(label.labelShapes)
-    if len(separatedPaths) > 0:
-        imgLabel = plt.imread(StringIO(separatedPaths[0]))
-        npArray = np.array(svgStringToXML(label))
-    return npArray
-
-
-def labelFromLabelIndex(labelIndex):
-    categories = CategoryType.objects.all().filter(category_name='tomatoes')
-    catTomatoes = categories[0]
-    return ImageLabel.objects.all()[labelIndex]
-
-def parentImageFromImageLabelDB(label):
-    image = label.parentImage
-    hostpath = 'http://airborne.ddns.net:8000'
-    imageURL = hostpath + image.path + image.name
-    return plt.imread(urllib2.urlopen(imageURL), format='jpeg')
-    
-    
-def svgStringToXML(labelDBObj):
-    import xml.etree.ElementTree as ET
-    svgXML = ET.fromstring(labelDBObj.labelShapes.encode())
-    vecAll = []
-
-    for circle in svgXML.findall('{http://www.w3.org/2000/svg}circle'):
-        keys = {'cx','cy', 'r'}
-        vec = []
-        for key in keys:
-            vec.append(circle.get(key))
-        trans = circle.get('transform')
-        exec('xt, yt = ' + trans)
-        vec.append(xt)
-        vec.append(yt)
-        vecAll.append(vec)
-    return vecAll
-             
-def translate(xt,yt):
-    return [xt, yt]
-             
-        
-def labelPatch(labelInfoList):
-    allLabelPatches = []
-    for labelInfo in labelInfoList:
-        vecAll = labelInfo[1]
-        imgParent = labelInfo[0]
-        if len(vecAll)>0:
-            xc=vecAll[:,0].astype(np.float)+vecAll[:,3].astype(np.float)
-            yc=vecAll[:,1].astype(np.float)+vecAll[:,4].astype(np.float)
-            delta = 1.3*vecAll[:,2].astype(np.float)
-            xr=(xc+delta).astype(np.int16)
-            yr=(yc+delta).astype(np.int16)
-            xl = (xc-delta).astype(np.int16)
-            yl = (yc-delta).astype(np.int16)
-            for i in range(0,len(vecAll)):
-                allLabelPatches.append(imgParent[yl[i]:yr[i],xl[i]:xr[i],:])
-    return allLabelPatches
-
-def plotAllPatchesForLabel(label):
-    dpi = 4.0
-    xpixels, ypixels = 400, 400
-    for idx,img in enumerate(labelSurvey.labelPatch(labelSurvey.reportLabelStats(label))):
-        fig = plt.figure(figsize=(ypixels/dpi, xpixels/dpi), dpi=dpi)
-        plt.subplot(25,1,idx+1)
-        plt.imshow(val)
-
-def plotPatchList(labelList):
-    nrows=5 
-    ncols=5
-    dpi = 40.0
-    xpixels, ypixels = 150, 150
-    for idx,patch in enumerate(labelSurvey.labelPatch(labelSurvey.reportLabelStats(labelList))):    
-        if idx%25==0:
-            fig = plt.figure(figsize=(ypixels/dpi, xpixels/dpi), dpi=dpi)
-            plt.subplots(nrows, ncols)
-        #fig = plt.figure(figsize=(ypixels/dpi, xpixels/dpi), dpi=dpi)
-        plt.subplot(nrows,ncols,(idx%25)+1)
-        plt.imshow(patch)
-        
-        
-def reflect(labelList = [ImageLabel.objects.all().last()]):
-    nrows=5 
-    ncols=5
-    allLabels = labelPatch(reportLabelStats(labelList))
-    for idx,patch in enumerate(allLabels):    
-        if idx%25==0:
-            plt.subplots(nrows, ncols)
-        plt.subplot(nrows,ncols,(idx%25)+1)
-        plt.imshow(patch)
-    return allLabels
-
-        
-
-    
-
-
-