From 89dd4f5e9a5214f3c41b3a33c7cb00a1211a9cf1 Mon Sep 17 00:00:00 2001 From: Ishaan Datta Date: Sat, 30 Nov 2024 19:21:23 -0800 Subject: [PATCH] display + ex picture --- .../python_workspace/scripts/display.py | 59 +++++++++++++++++- .../python_workspace/scripts/example.jpg | Bin 0 -> 139707 bytes 2 files changed, 57 insertions(+), 2 deletions(-) create mode 100644 ros2_ws/src/python_workspace/python_workspace/scripts/example.jpg diff --git a/ros2_ws/src/python_workspace/python_workspace/scripts/display.py b/ros2_ws/src/python_workspace/python_workspace/scripts/display.py index 4417bfc..9c56239 100644 --- a/ros2_ws/src/python_workspace/python_workspace/scripts/display.py +++ b/ros2_ws/src/python_workspace/python_workspace/scripts/display.py @@ -1,6 +1,61 @@ from ultralytics.utils import plotting import cv2 +import numpy as np +from typing import Union, Optional, List, Dict, Callable +import torch -image = cv2.imread('test.jpg') +# Mocking the colors function used in the provided code +def colors(idx, bgr=False): + palette = [ + (255, 56, 56), (255, 157, 151), (255, 112, 112), (255, 178, 56), + (240, 240, 240), (20, 20, 255), (0, 255, 0), (0, 0, 255) + ] + c = palette[idx % len(palette)] + return (c[2], c[1], c[0]) if bgr else c -plotting.plot_images() \ No newline at end of file +# Example usage +def main(): + # Load an image using cv2 + image_path = "example.jpg" # Replace with your image file path + image = cv2.imread(image_path) + if image is None: + print("Failed to load image. Please check the image path.") + return + + # Convert BGR to RGB + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + + # Prepare the inputs for the `plot_images` function + images = np.expand_dims(image.transpose(2, 0, 1), axis=0) # Shape: (1, C, H, W) + batch_idx = np.array([0, 0]) # Example: Two bounding boxes for the first image + cls = np.array([0, 1]) # Example classes + bboxes = np.array([ + [50, 50, 200, 200], # Bounding box 1: [x1, y1, x2, y2] + [300, 100, 400, 250] # Bounding box 2: [x1, y1, x2, y2] + ], dtype=np.float32) + confs = np.array([0.9, 0.8]) # Confidence scores + names = {0: "Class A", 1: "Class B"} # Class names + + # Plot the images with bounding boxes + plotting.plot_images( + images=images, + batch_idx=batch_idx, + cls=cls, + bboxes=bboxes, + confs=confs, + fname="output.jpg", + names=names, + save=False + ) + + # Display the result using OpenCV + output_image = cv2.imread("output.jpg") + if output_image is not None: + cv2.imshow("Image with Bounding Boxes", output_image) + cv2.waitKey(0) + cv2.destroyAllWindows() + else: + print("Failed to display the output image.") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/ros2_ws/src/python_workspace/python_workspace/scripts/example.jpg b/ros2_ws/src/python_workspace/python_workspace/scripts/example.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4069666829ea49635b51384da758c8de93efed42 GIT binary patch literal 139707 zcmbT7Wl$VZ_vVKng9Ueo8JrLp+}(q_26uM}ZUF{{fuKQyy99?I!JXjlP9Qizv%LSc zs{ORPr>j5pt*-m4u2X%^bDsNe@!uu@M^RQm7Jz^N03f_xfPX6hDF7-83J?Vu6$k{P zp`oH<61>I4z`!KM!^b9|B%`LHB%`390kbpG(6NCiD46(|**G}4xw)ws1w{BE!t7k! zkpH{{0Syfe69bdv?OPHEEd?#)|2h7318`9hx{&~g2y}oqxCn^22><#3)UW$QM)DzYHDfg=<4Yk zSXf$F+t}LKdw6Blu&B7Cw5+`TdqZPWb4zR6 z&)&ZNfx)5Sk?EP)x%q{~rRA;do!!0tgTtfai_5F)o7=m;_YeQ!LU`r;pYh+p{tqtP zSFSfmNQg+l|8OC^@p-)wagmT|IZ^N=)PZJh_;ip^R02tOeq9e5h)d&~(A@nOIuV$A zi~iz2X#Yj_e+L%!|3&t{!2UPaG5`}1;q~Jo;sV3~HzN50l-NbOiTDf@?B~8_zoK38 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