def scanPic(self, uri):
mr = MediaResource(graph, uri)
jpg, mtime = mr.getImageAndMtime(1000)
mat = cv.CreateMatHeader(1, len(jpg), cv.CV_8UC1)
cv.SetData(mat, jpg, len(jpg))
img = cv.DecodeImage(mat)
grayscale = cv.CreateImage((img.width, img.height), 8, 1)
cv.CvtColor(img, grayscale, cv.CV_RGB2GRAY)
cv.EqualizeHist(grayscale, grayscale)
storage = cv.CreateMemStorage(0)
faces = cv.HaarDetectObjects(
grayscale,
self.cascade,
storage,
1.2, # scaleFactor between scans
3, # minNeighbors
cv.CV_HAAR_DO_CANNY_PRUNING,
(20, 20) # min window size
)
size = cv.GetSize(grayscale)
for f, neighbors in faces:
desc = {
'source': str(uri),
'types': [PHO.Crop],
'tag': 'face',
'x1': f[0] / size[0],
'y1': f[1] / size[1],
'x2': (f[0] + f[2]) / size[0],
'y2': (f[1] + f[3]) / size[1],
# this ought to have a padded version for showing, and
# also the face coords inside that padded version, for
# recognition. Note that the padded one may run into
# the margins
'neighbors': neighbors,
}
alt = restkit.Resource(
uri.replace('http://photo.bigasterisk.com/',
'http://bang:8031/') + "/alt")
resp = alt.post(payload=json.dumps(desc),
headers={
'content-type':
'application/json',
'x-foaf-agent':
'http://bigasterisk.com/tool/scanFace'
})
print resp.status, resp.body_string()
def scanPic(self, uri):
mr = MediaResource(graph, uri)
jpg, mtime = mr.getImageAndMtime(1000)
mat = cv.CreateMatHeader(1, len(jpg), cv.CV_8UC1)
cv.SetData(mat, jpg, len(jpg))
img = cv.DecodeImage(mat)
grayscale = cv.CreateImage((img.width, img.height), 8, 1)
cv.CvtColor(img, grayscale, cv.CV_RGB2GRAY)
cv.EqualizeHist(grayscale, grayscale)
storage = cv.CreateMemStorage(0)
faces = cv.HaarDetectObjects(
grayscale,
self.cascade,
storage,
1.2, # scaleFactor between scans
3, # minNeighbors
cv.CV_HAAR_DO_CANNY_PRUNING,
(20, 20), # min window size
)
size = cv.GetSize(grayscale)
for f, neighbors in faces:
desc = {
"source": str(uri),
"types": [PHO.Crop],
"tag": "face",
"x1": f[0] / size[0],
"y1": f[1] / size[1],
"x2": (f[0] + f[2]) / size[0],
"y2": (f[1] + f[3]) / size[1],
# this ought to have a padded version for showing, and
# also the face coords inside that padded version, for
# recognition. Note that the padded one may run into
# the margins
"neighbors": neighbors,
}
alt = restkit.Resource(uri.replace("http://photo.bigasterisk.com/", "http://bang:8031/") + "/alt")
resp = alt.post(
payload=json.dumps(desc),
headers={"content-type": "application/json", "x-foaf-agent": "http://bigasterisk.com/tool/scanFace"},
)
print resp.status, resp.body_string()
def imageResource(self, uri, ctx, t1, t2):
r = MediaResource(graph, uri)
size = getRequestedSize(ctx)
useMp4 = ctx.arg('type') == 'mp4'
jpg, mtime = r.getImageAndMtime(size, useMp4=useMp4)
if r.isVideo():
if size is Video2:
if useMp4:
ct = 'video/mp4'
else:
ct = 'video/webm'
else:
ct = 'application/binary'
else:
ct = 'image/jpeg'
if uri.endswith('webm'):
ct = 'video/webm'
return StaticCached(jpg, ct, mtime, t1, t2)
def imageResource(self, uri, ctx, t1, t2):
r = MediaResource(graph, uri)
size = getRequestedSize(ctx)
useMp4 = ctx.arg('type') == 'mp4'
jpg, mtime = r.getImageAndMtime(size, useMp4=useMp4)
if r.isVideo():
if size is Video2:
if useMp4:
ct = 'video/mp4'
else:
ct = 'video/webm'
else:
ct = 'application/binary'
else:
ct = 'image/jpeg'
if uri.endswith('webm'):
ct = 'video/webm'
return StaticCached(jpg, ct, mtime, t1, t2)
