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DFK33UX174.json

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+{
+  "cameraName": "DFK-33UX174",
+  "cameraSensorWidth": 5.86,
+  "cameraSensorHeight": 5.86,
+  "iCx": 948.0,
+  "iCy": 576.0,
+  "ratio": 1,
+  "imageWidth": 1920,
+  "imageHeight": 1200,
+  "calibrationRatio": 3,
+  "parameter0": 0,
+  "parameter1": 3.6546,
+  "parameter2": -16.963,
+  "parameter3": 23.279,
+  "parameter4": -8.6849,
+  "parameter5": 84.09
+}

Raspi_Cam.json

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+{
+  "cameraName": "resp220",
+  "cameraSensorWidth": 1.4,
+  "cameraSensorHeight": 1.4,
+  "iCx": 1298,
+  "iCy": 966,
+  "ratio": 1.0,
+  "imageWidth": 2592,
+  "imageHeight": 1944,
+  "calibrationRatio": 4.05,
+  "parameter0": 0,
+  "parameter1": 0,
+  "parameter2": 0,
+  "parameter3": 0,
+  "parameter4": -47.96,
+  "parameter5": 222.86
+}

app.py

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+import cv2
+import streamlit as st
+from streamlit_webrtc import webrtc_streamer
+import numpy as np
+from PIL import Image
+from Moildev import Moildev
+import threading
+
+moildev = Moildev('Raspi_Cam.json')
+
+def brighten_image(image, amount):
+    img_bright = cv2.convertScaleAbs(image, beta=amount)
+    return img_bright
+
+
+def anypoint_image(image, alpha, beta, zoom, mode):
+    any_image = moildev.anypoint(image, alpha, beta, zoom, mode)
+    return any_image
+
+
+def main_loop():
+
+
+    st.title("MoilDev Demo App")
+    st.subheader("This app allows you to play with Image filters!")
+    st.text("We use OpenCV and Streamlit for this demo")
+
+
+    # radio
+    source = st.sidebar.radio('Sources:', ('image','video'))
+
+    if source == 'image':
+
+        # slider
+        zoom = st.sidebar.slider("Zoom", min_value=1.0, max_value=3.5, value=1.2)
+        alpha = st.sidebar.slider("Alpha", min_value=0.0, max_value=180.0, value=60.0)
+        beta = st.sidebar.slider("Beta", min_value=0.0, max_value=180.0, value=60.0)
+        brightness_amount = st.sidebar.slider("Brightness", min_value=-50, max_value=50, value=0)
+
+        # checkbox
+        mode_filter = st.sidebar.checkbox('Car Mode')
+
+        image_file = st.file_uploader("Upload Your Image", type=['jpg', 'png', 'jpeg'])
+        if not image_file:
+            return None
+
+        original_image = Image.open(image_file)
+        original_image = np.array(original_image)
+
+        if mode_filter == 1:
+            processed_image = anypoint_image(original_image, alpha=alpha, beta=beta, zoom=zoom, mode=1)
+
+        else:
+            processed_image = anypoint_image(original_image, alpha=alpha, beta=beta, zoom=zoom, mode=2)
+
+
+        processed_image = brighten_image(processed_image, brightness_amount)
+        st.text("Original Image vs Processed Image")
+        st.image([original_image, processed_image])
+
+    if source == 'video':
+
+        # slider
+        zoom = st.sidebar.slider("Zoom", min_value=1.0, max_value=3.5, value=1.2)
+        alpha = st.sidebar.slider("Alpha", min_value=0.0, max_value=180.0, value=60.0)
+        beta = st.sidebar.slider("Beta", min_value=0.0, max_value=180.0, value=60.0)
+
+        # checkbox
+        mode_filter = st.sidebar.checkbox('Car Mode')
+
+        lock = threading.Lock()
+        img_container = {"img": None}
+
+        def video_frame_callback(frame):
+            img = frame.to_ndarray(format="bgr24")
+            with lock:
+                img_container["img"] = img
+            return frame
+
+        ctx = webrtc_streamer(key="example", video_frame_callback=video_frame_callback)
+        vsn_place = st.empty()
+
+
+        while ctx.state.playing:
+            cv2.waitKey(10)
+
+            with lock:
+                img = img_container["img"]
+            if img is None:
+                continue
+
+            if mode_filter == 1:
+                processed_image = anypoint_image(img, alpha=alpha, beta=beta, zoom=zoom, mode=1)
+                vsn_place.image(processed_image)
+
+            else:
+                processed_image = anypoint_image(img, alpha=alpha, beta=beta, zoom=zoom, mode=2)
+                vsn_place.image(processed_image)
+
+
+
+if __name__ == '__main__':
+    main_loop()

camera_parameters.json

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+{"Axis": {"cameraName": "axis", "cameraFov": 220, "cameraSensorWidth": 1.4, "cameraSensorHeight": 1.4, "iCx": 1439, "iCy": 1439, "ratio": 1.0, "imageWidth": 2880, "imageHeight": 2880, "calibrationRatio": 6, "parameter0": 0, "parameter1": 0, "parameter2": 0, "parameter3": -7.76, "parameter4": 7.3355, "parameter5": 156.36}, "Raspi": {"cameraName": "resp220", "cameraFov": 220, "cameraSensorWidth": 1.4, "cameraSensorHeight": 1.4, "iCx": 1298, "iCy": 966, "ratio": 1.0, "imageWidth": 2592, "imageHeight": 1944, "calibrationRatio": 4.05, "parameter0": 0, "parameter1": 0, "parameter2": 0, "parameter3": 0, "parameter4": -47.96, "parameter5": 222.86}, "Intel_L": {"cameraName": "Intel-T265", "cameraFov": 180,"cameraSensorWidth": 3, "cameraSensorHeight": 3, "iCx": 429, "iCy": 395, "ratio": 1, "imageWidth": 848, "imageHeight": 800, "calibrationRatio": 1.67, "parameter0": 0, "parameter1": 0, "parameter2": -24.964, "parameter3": 38.2, "parameter4": -16.956, "parameter5": 183.42}, "Intel_R": {"cameraName": "Intel-T265", "cameraFov": 180, "cameraSensorWidth": 3, "cameraSensorHeight": 3, "iCx": 431, "iCy": 397, "ratio": 1, "imageWidth": 848, "imageHeight": 800, "calibrationRatio": 1.67, "parameter0": 0, "parameter1": 0, "parameter2": -24.964, "parameter3": 38.2, "parameter4": -16.956, "parameter5": 183.42}, "socionext": {"cameraName": "socionext", "cameraFov": 180,"cameraSensorWidth": 1.14, "cameraSensorHeight": 1.69, "iCx": 950, "iCy": 744, "ratio": 1.48, "imageWidth": 1920, "imageHeight": 1440, "calibrationRatio": 3.0, "parameter0": 0, "parameter1": 0, "parameter2": 0, "parameter3": -15.921, "parameter4": 31.337, "parameter5": 140.48}, "entaniya": {"cameraName": "entaniya","cameraFov": 220, "cameraSensorWidth": 1.2, "cameraSensorHeight": 1.2, "iCx": 1295, "iCy": 972, "ratio": 1.0, "imageWidth": 2592, "imageHeight": 1944, "calibrationRatio": 4.05, "parameter0": 0.0, "parameter1": 0.0, "parameter2": 0.0, "parameter3": -17.539, "parameter4": 31.802, "parameter5": 133.39}, "endoscope": {"cameraName": "endoscope", "cameraFov": 180,"cameraSensorWidth": 2.0, "cameraSensorHeight": 2.0, "iCx": 1120, "iCy": 520, "ratio": 1.0, "imageWidth": 1920, "imageHeight": 1080, "calibrationRatio": 4.05, "parameter0": 0.0, "parameter1": 0.0, "parameter2": 0.0, "parameter3": 0.0, "parameter4": 0.0, "parameter5": 130.0}}

requirements.txt

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+streamlit==1.10.0
+opencv-python==4.6.0.66
+Pillow==9.1.1
+Moildev==3.1.0
+streamlit-webrtc==0.40.0