Envyyyy commited on
Commit
ba923fc
1 Parent(s): 9fa3713

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +0 -9
app.py CHANGED
@@ -4,8 +4,6 @@ import numpy as np
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  import moviepy.editor as moviepy
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  st.set_page_config(
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- page_title="Pendeteksi Kendaraan",
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- page_icon="./car.ico",
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  layout="wide"
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  )
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  st.title("PENDETEKSI KENDARAAN")
@@ -34,7 +32,6 @@ temp_file_detect = './temp_file_3.mp4'
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  def write_bytesio_to_file(filename, bytesio):
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  with open(filename, "wb") as outfile:
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  outfile.write(bytesio.getbuffer())
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- st.balloons()
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  with st.spinner("Loading..."):
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  if video_data:
@@ -63,7 +60,6 @@ with st.spinner("Loading..."):
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  dilatada = cv2.morphologyEx(dilatada, cv2.MORPH_CLOSE, kernel)
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  counterShape, h = cv2.findContours(dilatada, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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-
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  cv2.line(frame1, (25, count_line_position), (1250, count_line_position), (0, 0, 0), 4)
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  for (i, c) in enumerate(counterShape) :
@@ -78,7 +74,6 @@ with st.spinner("Loading..."):
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  detect.append(center)
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  cv2.circle(frame1, center, 4, (0, 255, 0), -1)
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-
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  for (x, y) in detect :
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  if y<(count_line_position+offset) and y>(count_line_position-offset) :
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  counter += 1
@@ -100,10 +95,6 @@ with st.spinner("Loading..."):
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  clip1.write_videofile(detectedVideo)
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  clip = moviepy.VideoFileClip(temp_file_result)
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  clip.write_videofile(convertedVideo)
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- st.snow()
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-
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-
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-
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  st.success("Berhasil Terdeteksi!", icon="✅")
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  col1,col2,col3 = st.columns(3)
 
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  import moviepy.editor as moviepy
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  st.set_page_config(
 
 
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  layout="wide"
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  )
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  st.title("PENDETEKSI KENDARAAN")
 
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  def write_bytesio_to_file(filename, bytesio):
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  with open(filename, "wb") as outfile:
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  outfile.write(bytesio.getbuffer())
 
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  with st.spinner("Loading..."):
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  if video_data:
 
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  dilatada = cv2.morphologyEx(dilatada, cv2.MORPH_CLOSE, kernel)
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  counterShape, h = cv2.findContours(dilatada, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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  cv2.line(frame1, (25, count_line_position), (1250, count_line_position), (0, 0, 0), 4)
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  for (i, c) in enumerate(counterShape) :
 
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  detect.append(center)
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  cv2.circle(frame1, center, 4, (0, 255, 0), -1)
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  for (x, y) in detect :
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  if y<(count_line_position+offset) and y>(count_line_position-offset) :
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  counter += 1
 
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  clip1.write_videofile(detectedVideo)
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  clip = moviepy.VideoFileClip(temp_file_result)
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  clip.write_videofile(convertedVideo)
 
 
 
 
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  st.success("Berhasil Terdeteksi!", icon="✅")
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  col1,col2,col3 = st.columns(3)