<jupyter_start><jupyter_text><jupyter_code>!git clone https://github.com/pjreddie/darknet
  
!ls
cd darknet
!ls

!make
!wget https://pjreddie.com/media/files/yolov3.weights
!pip install opencv-python
!pip list
!./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg

import cv2
import matplotlib.pyplot as plt
import os.path
fig,ax=plt.subplots()
ax.tick_params(labelbottom="off",bottom="off")
ax.tick_params(labelleft="off",left="off")
ax.set_xticklabels([])
ax.axis('off')

file='wa.jpg'
if os.path.exists(file):
  img=cv2.imread(file)
  show_img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
  plt.imshow(show_img)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1542056074766355, 'fraction_numerical': 0.012461059190031152, 'mean_word_length': 6.564705882352941, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '597417', 'license': 'MIT', 'n_tokens_mistral': 277, 'n_tokens_neox': 271, 'n_words': 39, 'path': 'yoloV3.ipynb', 'repo_name': 'uzmakhan7/uk', 'size': '642'}