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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+cow-video-cows-mooing-and-grazing-in-a-field.mp4 filter=lfs diff=lfs merge=lfs -text

Ikinci_Yol.py

@@ -0,0 +1,30 @@
+import cv2
+from ultralytics import YOLO
+import numpy as np
+model=YOLO("/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/yolov8_model_on_custom_data/best.pt")
+
+source="/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/yolov8_model_on_custom_data/cow-video-cows-mooing-and-grazing-in-a-field.mp4"
+
+cap = cv2.VideoCapture(source)
+
+while True:
+    ret, frame = cap.read()
+
+    if not ret:
+        break
+
+    results = model(frame)
+    for result in results:
+        box=result.boxes
+        
+        x1, y1, x2, y2 = map(int, box.xyxy[0])
+        print(x1, y1, x2, y2)
+        cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
+
+    cv2.imshow("img", frame)
+    
+    if cv2.waitKey(1) & 0xFF == ord("q"):
+        break
+
+cap.release()
+cv2.destroyAllWindows()

best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0cdb2ceca8517a36c92d6d509f9ef29c5e211d2fd8cf5d72f95e5b2fc192ad3
+size 6247961

cow-video-cows-mooing-and-grazing-in-a-field.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c518e6861fd746ab17df4506940295f1e8ea40c2b990338ae3f5e34da119cae8
+size 67100420

requirements.txt

@@ -0,0 +1,51 @@
+certifi==2023.11.17
+charset-normalizer==3.3.2
+contourpy==1.2.0
+cycler==0.12.1
+filelock==3.13.1
+fonttools==4.47.2
+fsspec==2023.12.2
+idna==3.6
+Jinja2==3.1.3
+kiwisolver==1.4.5
+MarkupSafe==2.1.4
+matplotlib==3.8.2
+mpmath==1.3.0
+networkx==3.2.1
+numpy==1.26.3
+nvidia-cublas-cu12==12.1.3.1
+nvidia-cuda-cupti-cu12==12.1.105
+nvidia-cuda-nvrtc-cu12==12.1.105
+nvidia-cuda-runtime-cu12==12.1.105
+nvidia-cudnn-cu12==8.9.2.26
+nvidia-cufft-cu12==11.0.2.54
+nvidia-curand-cu12==10.3.2.106
+nvidia-cusolver-cu12==11.4.5.107
+nvidia-cusparse-cu12==12.1.0.106
+nvidia-nccl-cu12==2.18.1
+nvidia-nvjitlink-cu12==12.3.101
+nvidia-nvtx-cu12==12.1.105
+opencv-python==4.9.0.80
+packaging==23.2
+pandas==2.2.0
+pillow==10.2.0
+psutil==5.9.8
+py-cpuinfo==9.0.0
+pyparsing==3.1.1
+python-dateutil==2.8.2
+pytz==2023.4
+PyYAML==6.0.1
+requests==2.31.0
+scipy==1.12.0
+seaborn==0.13.2
+six==1.16.0
+sympy==1.12
+thop==0.1.1.post2209072238
+torch==2.1.2
+torchvision==0.16.2
+tqdm==4.66.1
+triton==2.1.0
+typing_extensions==4.9.0
+tzdata==2023.4
+ultralytics==8.1.8
+urllib3==2.1.0

yolov8.py

@@ -0,0 +1,24 @@
+import cv2
+from ultralytics import YOLO
+
+model=YOLO("/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/yolov8_model_on_custom_data/best.pt")
+
+source="/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/yolov8_model_on_custom_data/cow-video-cows-mooing-and-grazing-in-a-field.mp4"
+
+cap=cv2.VideoCapture(source)
+
+while cap:
+    ret, frame= cap.read()
+
+    if not ret:
+      break
+
+    results = model(frame)
+    cv2.imshow("img", results[0].plot())
+
+    
+    if cv2.waitKey(1) & 0xFF == ord("q"):
+       break
+    
+cap.release()
+cv2.destroyAllWindows()