def inference_remote_image(self, id, image_hash, ann=None, meta=None, mode=None):
data = {
"request_type": "inference",
"meta": meta or ProjectMeta().to_json(),
"annotation": ann or None,
"mode": mode or {},
"image_hash": image_hash
}
fake_img_data = sly_image.write_bytes(np.zeros([5, 5, 3]), '.jpg')
encoder = MultipartEncoder({'id': str(id).encode('utf-8'),
'data': json.dumps(data),
'image': ("img", fake_img_data, "")})
response = self._api.post('models.infer', MultipartEncoderMonitor(encoder))
return response.json()
def inference(self, id, img, ann=None, meta=None, mode=None, ext=None):
data = {
"request_type": "inference",
"meta": meta or ProjectMeta().to_json(),
"annotation": ann or None,
"mode": mode or {},
}
img_data = sly_image.write_bytes(img, ext or '.jpg')
encoder = MultipartEncoder({
'id': str(id).encode('utf-8'),
'data': json.dumps(data),
'image': ("img", img_data, "")
})
response = self.api.post('models.infer',
MultipartEncoderMonitor(encoder))
return response.json()
def img_to_bytes_stream(item):
img, name = item[0], item[1]
img_bytes = sly_image.write_bytes(img, get_file_ext(name))
return io.BytesIO(img_bytes)
def upload_np(self, img_np, ext='.png'):
data = image.write_bytes(img_np, ext)
return self.upload(data)