Initial commit or update model files

README.md

@@ -1,7 +1,13 @@
+<<<<<<< HEAD
 ---
 license: apache-2.0
 language:
 - en
 base_model:
 - Ultralytics/YOLOv8
----
+---
+=======
+# Solar Panel Fault Detection
+
+Model exported from Roboflow and pushed to Hugging Face.
+>>>>>>> ccd8f04 (Initial commit with YOLOv5 Roboflow model)

Yolov8n train.pt

@@ -1,24 +1,3 @@
-pip install inference
-
-# Import the InferencePipeline object
-from inference import InferencePipeline
-import cv2
-
-def my_sink(result, video_frame):
-    if result.get("output_image"): # Display an image from the workflow response
-        cv2.imshow("Workflow Image", result["output_image"].numpy_image)
-        cv2.waitKey(1)
-    print(result) # do something with the predictions of each frame
-
-
-# initialize a pipeline object
-pipeline = InferencePipeline.init_with_workflow(
-    api_key="dxkgGGHSZ3DI8XzVn29U",
-    workspace_name="naveen-kumar-hnmil",
-    workflow_id="detect-count-and-visualize-5",
-    video_reference=0, # Path to video, device id (int, usually 0 for built in webcams), or RTSP stream url
-    max_fps=30,
-    on_prediction=my_sink
-)
-pipeline.start() #start the pipeline
-pipeline.join() #wait for the pipeline thread to finish
+version https://git-lfs.github.com/spec/v1
+oid sha256:9bfd0b7b97e7a538e3ef6e986e06db2d22c6ab4a7f3d083aec17b40d6d6fa96f
+size 844