forked from Trefo/agdss
-
Notifications
You must be signed in to change notification settings - Fork 1
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
jnanesjwar das
committed
Nov 23, 2016
1 parent
1d31a70
commit 055a28c
Showing
1 changed file
with
114 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,114 @@ | ||
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 reflect(labelList = [ImageLabel.objects.all().last()]): | ||
for idx,patch in enumerate(labelPatch(map(lambda label:list([parentImg(label), labels(label)]),labelList))): | ||
if idx%25==0: | ||
plt.subplots(5, 5) | ||
plt.subplot(5,5,(idx%25)+1) | ||
plt.imshow(patch) | ||
return allLabels | ||
|
||
def labels(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 parentImg(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 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 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 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 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) | ||
|
||
|
||
|
||
|
||
|
||
|
||
|