Summary
I have been trying to put this demo of Mediapipe on Streamlit Cloud. The demo shows up and works fine on my computer, but when I upload it to Streamlit Cloud I see the text, but the webcam feed isn’t there. Here’s a photo of what i see:
If you have any suggestions or questions please feel free to tell me.
Debug info
- Streamlit version: 1.20.0
- Python version: 3.7.1
- Operating System: Windows 11 Pro 22h2
- Browser: Chrome
- Virtual environment: python venv
Reproducible Code Example:
import cv2
import mediapipe as mp
import numpy as np
import streamlit as st
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_pose = mp.solutions.pose
stframe = st.empty()
IMAGE_FILES = []
BG_COLOR = (192, 192, 192)
with mp_pose.Pose(
static_image_mode=True,
model_complexity=2,
enable_segmentation=True,
min_detection_confidence=0.5) as pose:
for idx, file in enumerate(IMAGE_FILES):
image = cv2.imread(file)
image_height, image_width, _ = image.shape
results = pose.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
if not results.pose_landmarks:
continue
print(
f'Nose coordinates: ('
f'{results.pose_landmarks.landmark[mp_pose.PoseLandmark.NOSE].x * image_width}, '
f'{results.pose_landmarks.landmark[mp_pose.PoseLandmark.NOSE].y * image_height})'
)
annotated_image = image.copy()
condition = np.stack((results.segmentation_mask,) * 3, axis=-1) > 0.1
bg_image = np.zeros(image.shape, dtype=np.uint8)
bg_image[:] = BG_COLOR
annotated_image = np.where(condition, annotated_image, bg_image)
mp_drawing.draw_landmarks(
annotated_image,
results.pose_landmarks,
mp_pose.POSE_CONNECTIONS,
landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
cv2.imwrite('/tmp/annotated_image' + str(idx) + '.png', annotated_image)
mp_drawing.plot_landmarks(
results.pose_world_landmarks, mp_pose.POSE_CONNECTIONS)
st.title("Mediapipe Feed")
cap = cv2.VideoCapture(0)
with mp_pose.Pose(
min_detection_confidence=0.5,
min_tracking_confidence=0.5) as pose:
while cap.isOpened():
success, image = cap.read()
if not success:
print("Ignoring empty camera frame.")
continue
image.flags.writeable = False
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
results = pose.process(image)
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
mp_drawing.draw_landmarks(
image,
results.pose_landmarks,
mp_pose.POSE_CONNECTIONS,
landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
stframe.image(image, channels="BGR")
cap.release()
cap.destroyALLWindows()
