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import av
import os
import sys
import streamlit as st
import cv2
import tempfile
BASE_DIR = os.path.abspath(os.path.join(__file__, '../../'))
sys.path.append(BASE_DIR)
from utils import get_mediapipe_pose
from process_frame import ProcessFrame
from thresholds import get_thresholds_beginner, get_thresholds_pro
st.title('AI Fitness Trainer: Squats Analysis')
mode = st.radio('Select Mode', ['Beginner', 'Pro'], horizontal=True)
thresholds = None
if mode == 'Beginner':
thresholds = get_thresholds_beginner()
elif mode == 'Pro':
thresholds = get_thresholds_pro()
upload_process_frame = ProcessFrame(thresholds=thresholds)
# Initialize face mesh solution
pose = get_mediapipe_pose()
download = None
if 'download' not in st.session_state:
st.session_state['download'] = False
output_video_file = f'output_recorded.mp4'
if os.path.exists(output_video_file):
os.remove(output_video_file)
with st.form('Upload', clear_on_submit=True):
up_file = st.file_uploader("Upload a Video", ['mp4','mov', 'avi'])
uploaded = st.form_submit_button("Upload")
stframe = st.empty()
ip_vid_str = '<p style="font-family:Helvetica; font-weight: bold; font-size: 16px;">Input Video</p>'
warning_str = '<p style="font-family:Helvetica; font-weight: bold; color: Red; font-size: 17px;">Please Upload a Video first!!!</p>'
warn = st.empty()
download_button = st.empty()
if up_file and uploaded:
download_button.empty()
tfile = tempfile.NamedTemporaryFile(delete=False)
try:
warn.empty()
tfile.write(up_file.read())
vf = cv2.VideoCapture(tfile.name)
# --------------------- Write the processed video frame. --------------------
fps = int(vf.get(cv2.CAP_PROP_FPS))
width = int(vf.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(vf.get(cv2.CAP_PROP_FRAME_HEIGHT))
frame_size = (width, height)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
video_output = cv2.VideoWriter(output_video_file, fourcc, fps, frame_size)
# -----------------------------------------------------------------------------
txt = st.sidebar.markdown(ip_vid_str, unsafe_allow_html=True)
ip_video = st.sidebar.video(tfile.name)
while vf.isOpened():
ret, frame = vf.read()
if not ret:
break
# convert frame from BGR to RGB before processing it.
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
out_frame, _ = upload_process_frame.process(frame, pose)
stframe.image(out_frame)
video_output.write(out_frame[...,::-1])
vf.release()
video_output.release()
stframe.empty()
ip_video.empty()
txt.empty()
tfile.close()
except AttributeError:
warn.markdown(warning_str, unsafe_allow_html=True)
if os.path.exists(output_video_file):
with open(output_video_file, 'rb') as op_vid:
download = download_button.download_button('Download Video', data = op_vid, file_name='output_recorded.mp4')
if download:
st.session_state['download'] = True
if os.path.exists(output_video_file) and st.session_state['download']:
os.remove(output_video_file)
st.session_state['download'] = False
download_button.empty()
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