dalam video ini kita sama - sama belajar untuk mendeteksi sebuah barcode dalam video menggunakan python dan open cd teman teman, jika ada salah dalam menjelaskan atau kurang saat menjelaskan saya mohon maaf
script
!apt-get update
!apt-get install -y libzbar0
!pip install pyzbar opencv-python-headless moviepy
from google.colab import files
uploaded = files.upload()
import cv2
from pyzbar.pyzbar import decode
from moviepy.editor import VideoFileClip
from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip
from IPython.display import HTML
def detect_barcode(frame):
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
barcodes = decode(gray)
for barcode in barcodes:
x, y, w, h = barcode.rect
barcode_data = barcode.data.decode('utf-8')
barcode_type = barcode.type
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
text = f'{barcode_data} ({barcode_type})'
cv2.putText(frame, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
return frame
# Unggah file video yang diinginkan
video_path = list(uploaded.keys())[0]
cap = cv2.VideoCapture(video_path)
# Siapkan penulis video untuk menyimpan hasil deteksi
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('output_detected.avi', fourcc, 30.0, (int(cap.get(3)), int(cap.get(4))))
# Proses setiap frame dan simpan ke file video baru
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
frame = detect_barcode(frame)
out.write(frame) # Simpan setiap frame ke file video baru
cap.release()
out.release()
# Hitung durasi video untuk parameter t2
cap = cv2.VideoCapture('output_detected.avi')
fps = cap.get(cv2.CAP_PROP_FPS)
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
duration = frame_count / fps
cap.release()
# Convert video to mp4
ffmpeg_extract_subclip("output_detected.avi", 0, duration, targetname="output_detected.mp4")
# Menampilkan video hasil deteksi
clip = VideoFileClip("output_detected.mp4")
clip.ipython_display(width=400)