Spaces:
Sleeping
Sleeping
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('Anju AI Fitness Trainer') | |
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() | |