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feat: add control for multiple cameras

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This commit is contained in:
alban 2024-12-15 18:09:32 +01:00
parent 815f1ab00e
commit 72672e3dfe
2 changed files with 49 additions and 24 deletions
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65
main.py
View File

@ -1,8 +1,3 @@
import tkinter as tk
from tkinter import ttk
from process import process_frame
from PIL import Image, ImageTk # Required for displaying images
import cv2 # OpenCV for numpy array to image conversion
"""
Here’s a detailed prompt you can use to generate the same GUI code anew using a language model:
@ -56,6 +51,12 @@ Please provide a fully functional `gui.py` implementation meeting these requirem
This prompt is designed to give the LLM everything it needs to generate the desired `gui.py` code. Let me know if you'd like to adjust it further!
"""
import tkinter as tk
from tkinter import ttk
from process import process_frame
from PIL import Image, ImageTk # Required for displaying images
import cv2 # OpenCV for numpy array to image conversion
class OpenCVInterface:
def __init__(self, root):
self.root = root
@ -68,12 +69,12 @@ class OpenCVInterface:
"param2": (0, 400, 25),
"minRadius": (0, 100, 5),
"maxRadius": (0, 1000, 1000),
"color1_R_min": (0, 255, 0),
"color1_R_max": (0, 255, 0),
"color1_V_min": (0, 255, 0),
"color1_V_max": (0, 255, 0),
"color1_B_min": (0, 255, 0),
"color1_B_max": (0, 255, 0),
"color1_R_min": (0, 64, 5),
"color1_R_max": (0, 64, 5),
"color1_V_min": (0, 64, 5),
"color1_V_max": (0, 64, 5),
"color1_B_min": (0, 64, 5),
"color1_B_max": (0, 64, 5),
}
self.variables = {
@ -89,24 +90,44 @@ class OpenCVInterface:
self.root.columnconfigure(0, weight=1)
self.root.columnconfigure(1, weight=1)
# Dropdown for camera selection
camera_frame = ttk.Frame(self.root)
camera_frame.grid(row=0, column=0, sticky="nsew")
self.camera_selection = tk.StringVar()
self.camera_dropdown = ttk.Combobox(camera_frame, textvariable=self.camera_selection)
self.camera_dropdown.grid(row=0, column=0, padx=5, pady=5)
self.populate_camera_dropdown()
# Left Column: Sliders
left_frame = ttk.Frame(self.root)
left_frame.grid(row=0, column=0, sticky="nswe")
left_frame.grid(row=1, column=0, sticky="nswe")
for var_name, var in self.variables.items():
min_val, max_val, _ = self.variables_config[var_name]
self.create_slider(left_frame, var_name, var, min_val, max_val)
# Right Column: Image Placeholder
self.image_canvas = tk.Canvas(self.root, bg="gray", width=800, height=600)
self.image_canvas.grid(row=0, column=1, sticky="nswe")
self.image_canvas = tk.Canvas(self.root, bg="gray", width=1024, height=768)
self.image_canvas.grid(row=0, column=1, rowspan=2, sticky="nswe")
# Bottom Row: Run Button and Result
run_button = ttk.Button(self.root, text="Run", command=self.run_process)
run_button.grid(row=1, column=0, sticky="we")
run_button.grid(row=2, column=0, sticky="we")
self.result_text = tk.Text(self.root, height=10, width=40)
self.result_text.grid(row=1, column=1, sticky="nswe")
self.result_text = tk.Text(self.root, height=5, width=40)
self.result_text.grid(row=2, column=1, sticky="nswe")
def populate_camera_dropdown(self):
# Detect connected cameras using OpenCV
cameras = []
for i in range(5): # Check first 5 indexes for cameras
cap = cv2.VideoCapture(i)
if cap.read()[0]:
cameras.append(f"Camera {i}")
cap.release()
self.camera_dropdown["values"] = cameras
if cameras:
self.camera_dropdown.current(0)
def create_slider(self, parent, name, variable, min_val, max_val):
frame = ttk.Frame(parent)
@ -118,7 +139,7 @@ class OpenCVInterface:
def on_slide(value):
# Round value to nearest multiple of 5
rounded_value = round(float(value) / 2) * 2
rounded_value = round(float(value) / 5) * 5
variable.set(int(rounded_value)) # Update the variable with the rounded value
# Slider
@ -137,8 +158,11 @@ class OpenCVInterface:
parameters = {key: var.get() for key, var in self.variables.items()}
try:
# Get selected camera ID
cam_id = int(self.camera_selection.get().split()[-1])
# Call process function
image, result_text = process_frame(parameters)
image, result_text = process_frame(parameters, cam_id=cam_id)
# Convert OpenCV image (numpy array) to PIL Image for Tkinter display
if image is not None:
@ -146,12 +170,13 @@ class OpenCVInterface:
pil_image = Image.fromarray(image) # Convert numpy array to PIL Image
# Rescale image to fit within 1024x768 while preserving aspect ratio
max_width, max_height = 800, 600
max_width, max_height = 1024, 768
original_width, original_height = pil_image.size
aspect_ratio = min(max_width / original_width, max_height / original_height)
new_width = int(original_width * aspect_ratio)
new_height = int(original_height * aspect_ratio)
pil_image = pil_image.resize((new_width, new_height), Image.Resampling.LANCZOS)
tk_image = ImageTk.PhotoImage(pil_image) # Convert PIL Image to Tkinter Image
# Clear canvas and display the image

8
process.py
View File

@ -16,7 +16,7 @@ TYPE_2 = "___ ___"
import cv2
def capture_frame_from_webcam():
def capture_frame_from_webcam(cam_id):
"""
Captures a single frame from the webcam.
@ -24,7 +24,7 @@ def capture_frame_from_webcam():
frame (numpy.ndarray): The captured frame as a NumPy array.
"""
# Open a connection to the second webcam (index 0)
cap = cv2.VideoCapture(1)
cap = cv2.VideoCapture(cam_id)
if not cap.isOpened():
raise Exception("Could not open webcam. Please check your webcam connection.")
@ -50,7 +50,7 @@ class Object:
rayon: int
def process_frame(params):
def process_frame(params, cam_id):
"""
Simulates OpenCV processing using parameters from the GUI.
@ -80,7 +80,7 @@ def process_frame(params):
# src = dir_path.joinpath('tests/images/balls-full-small.jpg')
# raw_image = cv2.imread(str(src))
raw_image = capture_frame_from_webcam()
raw_image = capture_frame_from_webcam(cam_id)
# 2. Boxing des objets via opencv
gray = cv2.cvtColor(raw_image, cv2.COLOR_BGR2GRAY)