def add():
image = request.POST.get('photo')
name = request.POST.get('name')
common_name = request.POST.get('common_name')
plant = Plant.retrieve(request.db, name)
if plant: return "This species is already in the DB"
if image is not None:
mime = mimetypes.guess_type(image.filename)[0]
conn = S3Connection('AKIAIMXIHJX3TFDQFVCA',
'Lf7xWpeOB9mnY1zfFzl7WNtxtNhmCZ4ZXOI8Kvrr')
bucket = conn.get_bucket('db_leaves')
key = Key(bucket)
key.key = name
key.set_metadata("Content-Type", mime)
key.set_contents_from_string(image.value)
key.set_acl("public-read")
descriptors, ax, bx, ay, by = EFD(
Threshold(image.file).process(), 50, 100).fourier_coefficients()
return Plant({
'name':
name,
'common_name':
common_name,
'wiki':
request.POST.get('wiki'),
'photo':
'https://s3.amazonaws.com/db_leaves/%s' % quote(name),
'descriptors':
descriptors
}).save(request.db)
return []
def add():
image = request.POST.get("photo")
name = request.POST.get("name")
common_name = request.POST.get("common_name")
plant = Plant.retrieve(request.db, name)
if plant:
return "This species is already in the DB"
if image is not None:
mime = mimetypes.guess_type(image.filename)[0]
conn = S3Connection("AKIAIMXIHJX3TFDQFVCA", "Lf7xWpeOB9mnY1zfFzl7WNtxtNhmCZ4ZXOI8Kvrr")
bucket = conn.get_bucket("db_leaves")
key = Key(bucket)
key.key = name
key.set_metadata("Content-Type", mime)
key.set_contents_from_string(image.value)
key.set_acl("public-read")
descriptors, ax, bx, ay, by = EFD(Threshold(image.file).process(), 50, 100).fourier_coefficients()
return Plant(
{
"name": name,
"common_name": common_name,
"wiki": request.POST.get("wiki"),
"photo": "https://s3.amazonaws.com/db_leaves/%s" % quote(name),
"descriptors": descriptors,
}
).save(request.db)
return []
def search():
image = request.POST.get('photo')
descriptors, ax, bx, ay, by = EFD(
Threshold(image.file).process(), 50, 100).fourier_coefficients()
plants = Plant.search(request.db, descriptors)
response.headers['Content-type'] = 'application/json'
return json.dumps(plants)
def add_sample():
image = request.POST.get("photo")
name = request.POST.get("name")
if image is not None:
descriptors, ax, bx, ay, by = EFD(Threshold(image.file).process(), 50, 100).fourier_coefficients()
return Plant.add_sample(request.db, name, descriptors)
return []
def add_sample():
image = request.POST.get('photo')
name = request.POST.get('name')
if image is not None:
descriptors, ax, bx, ay, by = EFD(
Threshold(image.file).process(), 50, 100).fourier_coefficients()
return Plant.add_sample(request.db, name, descriptors)
return []
def search():
image = request.POST.get("photo")
descriptors, ax, bx, ay, by = EFD(Threshold(image.file).process(), 50, 100).fourier_coefficients()
plants = Plant.search(request.db, descriptors)
response.headers["Content-type"] = "application/json"
return json.dumps(plants)
