panoList = []
panoDict = {}
cur = 0
with open('example/url_require/' + fileID +
'_lat_lon_result.json') as data_file:
SFM_path = json.load(data_file)
pathPoint_set = []
for key, value in SFM_path.iteritems():
pathPoint_set.append(value)
print len(pathPoint_set)
for i in xrange(0, len(pathPoint_set) - 1):
pathPoint = pathPoint_set[i]
pano = streetview_my.GetPanoramaMetadata(lat=pathPoint[0],
lon=pathPoint[1])
if pano.PanoId not in panoSet:
panoSet.add(pano.PanoId)
pano_for_mat = {'Lat':pano.Lat, 'Lon':pano.Lon, 'panoId':pano.PanoId, 'AnnotationLinks':pano.AnnotationLinks, 'ProjectionPanoYawDeg':pano.ProjectionPanoYawDeg,\
'rawDepth':pano.rawDepth, 'DepthMapIndices':pano.DepthMapIndices, 'DepthMapPlanes':pano.DepthMapPlanes, 'DepthHeader':pano.DepthHeader}
#pano_for_mat = {'Lat':pano.Lat, 'Lon':pano.Lon, 'panoId':pano.PanoId, 'AnnotationLinks':pano.AnnotationLinks, 'ProjectionPanoYawDeg':pano.ProjectionPanoYawDeg}
panoDict['street' + str(cur)] = pano_for_mat
cur = cur + 1
print panoDict.keys(), len(panoDict.keys())
panoMeta = {}
panoMeta['len'] = len(panoDict.keys())
panoMeta['data'] = panoDict
sio.savemat('streetview_set_' + fileID + '.mat', panoMeta)
import json
import scipy.io as sio
import sys
sys.path.append('../Refference/')
import streetview_my
from pprint import pprint
with open('json/metaOnly.json') as data_file:
data = json.load(data_file)
print data[str(0)]['panoId']
panoDict = {}
cur = 0
pano = streetview_my.GetPanoramaMetadata(data[str(0)]['panoId'])
pano_for_mat = {
'Lat': pano.Lat,
'Lon': pano.Lon,
'panoId': pano.PanoId,
'AnnotationLinks': pano.AnnotationLinks
}
panoDict['street' + str(cur)] = pano_for_mat
cur += 1
panoMeta = {}
panoMeta['len'] = len(panoDict.keys())
panoMeta['data'] = panoDict
sio.savemat('streetview_set_onlyMeta_G1.mat', panoMeta)
import numpy as np
import cv2
import scipy.io as sio
import json
fileID = '000994'
start_panoId = 'GqB2wt15OLGdVzm0BIC8SQ'
requireNum = 30
panoSet = set()
panoList = []
panoDict = {}
cur = 0
panoList.append(start_panoId)
panoSet.add(start_panoId)
pano = streetview_my.GetPanoramaMetadata(start_panoId)
pano_for_mat = {
'Lat': pano.Lat,
'Lon': pano.Lon,
'panoId': pano.PanoId,
'AnnotationLinks': pano.AnnotationLinks,
'ProjectionPanoYawDeg': pano.ProjectionPanoYawDeg,
'rawDepth': pano.rawDepth,
'DepthMapIndices': pano.DepthMapIndices,
'DepthMapPlanes': pano.DepthMapPlanes,
'DepthHeader': pano.DepthHeader
}
#pano_for_mat = {'Lat':pano.Lat, 'Lon':pano.Lon, 'panoId':pano.PanoId, 'AnnotationLinks':pano.AnnotationLinks, 'ProjectionPanoYawDeg':pano.ProjectionPanoYawDeg}
panoDict['street' + str(cur)] = pano_for_mat
cur += 1
#!/usr/bin/python
import streetview_my
import numpy as np
import cv2
import scipy.io as sio
import sys
'''
a = np.zeros((200,500));
b = np.zeros((200,500));
s = 'hello'
cv2.imwrite('a.jpg',a);
sio.savemat('a.mat', {'a':a, 'b':b})
sio.savemat('s.mat', {'s':s, 'abc':a})
'''
pano = streetview_my.GetPanoramaMetadata("L5QY_nh7wOUz3Fd4GhpLaA")
e = np.random.random((pano.DepthHeader['numPlanes'], 3)) * 255
height = pano.DepthHeader['panoHeight']
width = pano.DepthHeader['panoWidth']
depthIndex = pano.DepthMapIndices
depthPlane = pano.DepthMapPlanes
data = np.zeros((height, width, 3))
for h in range(0, height):
for w in range(0, width):
dIndex = depthIndex[h * width + w]
data[h][w][:] = e[dIndex, :]
'''
data = np.zeros((height, width, 3))
print (height, width)
for w in range(0, width):