|
|
from matplotlib.patches import Rectangle |
|
|
from describe import process_image |
|
|
import matplotlib.pyplot as plt |
|
|
from PIL import Image |
|
|
import ocrmac |
|
|
import json |
|
|
import time |
|
|
import cv2 |
|
|
import os |
|
|
|
|
|
time.sleep(2) |
|
|
|
|
|
with open('pwd.txt', 'r') as pwd: |
|
|
folder_location = pwd.read() |
|
|
|
|
|
|
|
|
def crop_and_save_image(img, box, output_path): |
|
|
|
|
|
|
|
|
box = [int(coord) for coord in box] |
|
|
|
|
|
|
|
|
cropped_img = img[box[1]:box[3], box[0]:box[2]] |
|
|
cv2.imwrite(output_path, cropped_img) |
|
|
|
|
|
|
|
|
def visualize_result(image_file_path, result): |
|
|
assert isinstance(result, list) |
|
|
|
|
|
og_img = cv2.imread(image_file_path) |
|
|
img = cv2.imread(image_file_path) |
|
|
|
|
|
captions = [] |
|
|
|
|
|
for r in result: |
|
|
box = r['box'] |
|
|
caption = r['cap'] |
|
|
if "<unk>" in caption: |
|
|
crop_and_save_image(og_img, box, "ocr.png") |
|
|
recognized = ocrmac.OCR('Sample Images/Image.jpeg').recognize() |
|
|
caption = caption.replace("<unk>", recognized[0][0]) |
|
|
cv2.rectangle(img, (int(box[0]), int(box[1])), |
|
|
(int(box[2]), int(box[3])), (0, 0, 255), 2) |
|
|
cv2.rectangle(img, (int(box[0]), int(box[1])), (int( |
|
|
box[2]), int(box[1])-50), (200, 200, 200), -1) |
|
|
cv2.rectangle(img, (int(box[0]), int(box[1])), |
|
|
(int(box[2]), int(box[1])-50), (0, 0, 0), 2) |
|
|
cv2.putText(img, caption, (int(box[0]), int( |
|
|
box[1]) - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 2) |
|
|
captions.append(caption) |
|
|
|
|
|
cv2.imwrite("output.png", img) |
|
|
|
|
|
return captions, img |
|
|
|
|
|
|
|
|
def describe_image(frame): |
|
|
IMG_FILE_PATH = f'{folder_location}image.png' |
|
|
|
|
|
cv2.imwrite(IMG_FILE_PATH, frame) |
|
|
process_image(IMG_FILE_PATH, folder_location) |
|
|
|
|
|
RESULT_JSON_PATH = f'{folder_location}CircumSpect/result.json' |
|
|
with open(RESULT_JSON_PATH, 'r') as f: |
|
|
results = json.load(f) |
|
|
|
|
|
TO_K = 10 |
|
|
assert IMG_FILE_PATH in results.keys() |
|
|
captions, frame = visualize_result( |
|
|
IMG_FILE_PATH, results[IMG_FILE_PATH][:TO_K]) |
|
|
|
|
|
return captions, frame |
|
|
|
|
|
if __name__ == "__main__": |
|
|
cap = cv2.VideoCapture(0) |
|
|
time.sleep(2) |
|
|
start = time.time() |
|
|
while True: |
|
|
end = time.time() |
|
|
print(end-start) |
|
|
_, img = cap.read() |
|
|
caption, frame = describe_image(img) |
|
|
cv2.imshow("CircumSpect", frame) |
|
|
cv2.waitKey(1) |
|
|
start = time.time() |
