def run():
"""
Prints Expredicted array of predictions from the model
:return: view
"""
file_path = file_upload(request, PATH)
maximum_index = find_max(run_prediction(resize(file_path)))
display_image(resize(file_path)[maximum_index])
return jsonify("Success")
def __init__(self, width, height):
self._width = width
self._height = height
self._obj = api.new()
api.resize(self._obj, self._width, self._height)
self._code = api.structures.Code()
self._data = api.structures.Data()
def __init__(self, width, height):
self._width = width
self._height = height
self._obj = api.new()
api.resize(self._obj, self._width, self._height)
self._code = api.structures.Code()
self._data = api.structures.Data()
def decode(image):
"""Recognize image and return generator with all the available QR codes
Currently supports only PIL Image object as an parameter
"""
# TODO: `image` type check
# Convert to grayscale mode
if image.mode not in ('1', 'L'):
image = image.convert('L')
width, height = image.size
pixels = image.load()
obj = api.new()
api.resize(obj, width, height)
buffer = api.begin(obj, width, height)
# Fill buffer with a image pixels. One cell, one pixel.
for idx, pixel in enumerate(converters.pil(image)):
buffer[idx] = pixel
# Finish codes identification
api.end(obj)
code = api.structures.Code()
data = api.structures.Data()
for i in range(api.count(obj)):
# Extract first code
api.extract(obj, i, code)
api.decode(code, data)
yield Code(
tuple([(corner.x, corner.y) for corner in code.corners]),
code.size,
data.version,
data.ecc_level,
data.data_type,
ctypes.string_at(data.payload, data.payload_len),
)
api.destroy(obj)
def decode(image):
"""Recognize image and return generator with all the available QR codes
Currently supports only PIL Image object as an parameter
"""
# TODO: `image` type check
# Convert to grayscale mode
if image.mode not in ('1', 'L'):
image = image.convert('L')
width, height = image.size
pixels = image.load()
obj = api.new()
api.resize(obj, width, height)
buffer = api.begin(obj, width, height)
# Fill buffer with a image pixels. One cell, one pixel.
for idx, pixel in enumerate(converters.pil(image)):
buffer[idx] = pixel
# Finish codes identification
api.end(obj)
code = api.structures.Code()
data = api.structures.Data()
for i in range(api.count(obj)):
# Extract first code
api.extract(obj, i, code)
api.decode(code, data)
yield Code(
tuple([(corner.x, corner.y) for corner in code.corners]),
code.size,
data.version,
data.ecc_level,
data.data_type,
ctypes.string_at(data.payload, data.payload_len),
)
api.destroy(obj)