dwkurnie commited on
Commit
92ce739
·
1 Parent(s): fa11d8c
Files changed (3) hide show
  1. .gitignore +0 -1
  2. app.py +8 -6
  3. best.pt +3 -0
.gitignore CHANGED
@@ -1,5 +1,4 @@
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  flagged/
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- *.pt
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  *.png
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  *.jpg
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  *.mp4
 
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  flagged/
 
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  *.png
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  *.jpg
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  *.mp4
app.py CHANGED
@@ -3,7 +3,7 @@ import cv2
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  from ultralytics import YOLO
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  # Load YOLO model
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- model = YOLO('best.pt')
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  # Function to perform object detection on an image
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  def show_preds_image(image_path):
@@ -17,10 +17,11 @@ def show_preds_image(image_path):
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  (int(det[2]), int(det[3])),
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  color=(0, 0, 255),
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  thickness=2,
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- lineType=cv2.LINE_AA
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  )
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  return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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  # Define inputs and outputs for image interface
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  inputs_image = [
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  gr.inputs.Image(type="filepath", label="Input Image"),
@@ -35,10 +36,11 @@ interface_image = gr.Interface(
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  title="Garbage Detector (Image Input)",
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  )
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  # Function to perform object detection on a video stream
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  def show_preds_video(video_stream):
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  cap = cv2.VideoCapture(video_stream.name)
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- while(cap.isOpened()):
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  ret, frame = cap.read()
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  if ret:
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  frame_copy = frame.copy()
@@ -51,10 +53,11 @@ def show_preds_video(video_stream):
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  (int(det[2]), int(det[3])),
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  color=(0, 0, 255),
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  thickness=2,
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- lineType=cv2.LINE_AA
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  )
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  yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
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  # Define inputs and outputs for video interface
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  inputs_video = [
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  gr.inputs.Video(type="webcam", label="Input Webcam"),
@@ -71,6 +74,5 @@ interface_video = gr.Interface(
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  # Launch tabbed interface for both image and video inference
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  gr.TabbedInterface(
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- [interface_image, interface_video],
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- tab_names=['Image Inference', 'Video Inference']
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  ).launch()
 
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  from ultralytics import YOLO
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  # Load YOLO model
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+ model = YOLO("best.pt")
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  # Function to perform object detection on an image
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  def show_preds_image(image_path):
 
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  (int(det[2]), int(det[3])),
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  color=(0, 0, 255),
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  thickness=2,
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+ lineType=cv2.LINE_AA,
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  )
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  return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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+
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  # Define inputs and outputs for image interface
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  inputs_image = [
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  gr.inputs.Image(type="filepath", label="Input Image"),
 
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  title="Garbage Detector (Image Input)",
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  )
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+
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  # Function to perform object detection on a video stream
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  def show_preds_video(video_stream):
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  cap = cv2.VideoCapture(video_stream.name)
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+ while cap.isOpened():
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  ret, frame = cap.read()
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  if ret:
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  frame_copy = frame.copy()
 
53
  (int(det[2]), int(det[3])),
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  color=(0, 0, 255),
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  thickness=2,
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+ lineType=cv2.LINE_AA,
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  )
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  yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
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+
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  # Define inputs and outputs for video interface
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  inputs_video = [
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  gr.inputs.Video(type="webcam", label="Input Webcam"),
 
74
 
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  # Launch tabbed interface for both image and video inference
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  gr.TabbedInterface(
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+ [interface_image, interface_video], tab_names=["Image Inference", "Video Inference"]
 
78
  ).launch()
best.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2f688e18f683030746d48dacf9b60b198722205e3837afd5b2d26574f541a8f2
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+ size 22520163