feat(models): add quantisized YOLOv11 1280

models/best_YOLOv11n_1280_real_half.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a40907b815e2d13b8834f79128a72491f8d73e3e9840d3ad39f4f3555023ea9e
+size 5567977

tasks/image.py

@@ -16,7 +16,7 @@ load_dotenv()
 router = APIRouter()
 
 #MODEL_TYPE = "YOLOv11n"
-DESCRIPTION = f"Simple YOLOv6n model 1280"
+DESCRIPTION = f"YOLOv11n model 1280 with half precision"
 ROUTE = "/image"
 
 def parse_boxes(annotation_string):
@@ -117,7 +117,8 @@ async def evaluate_image(request: ImageEvaluationRequest):
     import matplotlib.pyplot as plt
 
     #PATH_TO_MODEL = 'models/best_YOLOv11n_1280.onnx'
-    PATH_TO_MODEL = 'models/best_yolov6n_1280.pt'
+    #PATH_TO_MODEL = 'models/best_yolov6n_1280.pt'
+    PATH_TO_MODEL = 'models/best_YOLOv11n_1280_real_half.onnx'
     INFERENCE_ENGINE_TYPE = 'pt'
     INPUT_SIZE = 1280