def post(self):
args = self._parser.parse_args()
img_bytes = args[IMAGE].stream.read()
img = sly_image.read_bytes(img_bytes)
ann = self._model.inference(img,
Annotation(img_size=img.shape[:2]))
return {ANNOTATION: ann.to_json()}
def post(self):
args = self._parser.parse_args()
img_bytes = args[IMAGE].stream.read()
img = sly_image.read_bytes(img_bytes)
meta = args[META]
ann = args[ANNOTATION]
mode = args[MODE]
data = {
"request_type":
INFERENCE,
"meta":
json.loads(meta.stream.read().decode("utf-8"))
if meta is not None else ProjectMeta().to_json(),
"annotation":
json.loads(ann.stream.read().decode("utf-8"))
if ann is not None else None,
"mode":
json.loads(mode.stream.read().decode("utf-8"))
if mode is not None else {},
'image_arr':
img
}
return self._model._final_processing(data)
def download_np(self, id):
'''
Download image with given id in numpy format
:param id: int
:return: image in RGB format(numpy matrix)
'''
response = self._download(id)
img = sly_image.read_bytes(response.content)
return img
def download_np(self, video_id, frame_index):
'''
:param video_id: int
:param frame_index: int
:return: image in RGB format(numpy matrix) for frame with given index from given video id
'''
response = self._download(video_id, frame_index)
img = read_bytes(response.content)
return img
def download_nps(self, dataset_id, ids, progress_cb=None, keep_alpha=False):
'''
Doenload images with given ids from dataset with given id in numpy format
:param dataset_id: int
:param ids: list of integers
:param progress_cb:
:return: list of images in RGB format(numpy matrix)
'''
return [sly_image.read_bytes(img_bytes, keep_alpha)
for img_bytes in self.download_bytes(dataset_id=dataset_id, ids=ids, progress_cb=progress_cb)]
def download_nps(self, dataset_id, ids, progress_cb=None):
images = []
if len(ids) == 0:
return images
id_to_img = {}
for img_id, resp_part in self._download_batch(dataset_id, ids):
id_to_img[img_id] = sly_image.read_bytes(resp_part.content)
if progress_cb is not None:
progress_cb(1)
images = [id_to_img[id] for id in ids]
return images
def download_np(self, id):
response = self._download(id)
img = sly_image.read_bytes(response.content)
return img
def download_nps(self, dataset_id, ids, progress_cb=None):
return [
sly_image.read_bytes(img_bytes)
for img_bytes in self.download_bytes(
dataset_id=dataset_id, ids=ids, progress_cb=progress_cb)
]
def download_np(self, video_id, frame_index):
response = self._download(video_id, frame_index)
img = read_bytes(response.content, input_is_bgr=False)
return img
def download_np(self, id):
response = self.download(id)
image_bytes = np.asarray(bytearray(response.content), dtype="uint8")
img = image.read_bytes(image_bytes)
return img
