할 일

개요

실행 환경

1. 실행 환경 준비 (Google Colaboratory에서 실행)

Google Colaboratory를 열고 런타임 탭의 런타임 유형 변경에서 GPU로 변경합니다.

!pip install torch torchvision
!pip install opencv-python tqdm addict
!git clone https://github.com/qijiezhao/M2Det.git
%cd M2Det/
!sh make.sh

2. Google Drive에서 모델 다운로드

import requests

def download_file_from_google_drive(id, destination):
    URL = "https://docs.google.com/uc?export=download"

    session = requests.Session()

    response = session.get(URL, params = { 'id' : id }, stream = True)
    token = get_confirm_token(response)

    if token:
        params = { 'id' : id, 'confirm' : token }
        response = session.get(URL, params = params, stream = True)

    save_response_content(response, destination)    

def get_confirm_token(response):
    for key, value in response.cookies.items():
        if key.startswith('download_warning'):
            return value

    return None

def save_response_content(response, destination):
    CHUNK_SIZE = 32768

    with open(destination, "wb") as f:
        for chunk in response.iter_content(CHUNK_SIZE):
            if chunk: # filter out keep-alive new chunks
                f.write(chunk)

file_id = '1NM1UDdZnwHwiNDxhcP-nndaWj24m-90L'
destination = './m2det512_vgg.pth'
download_file_from_google_drive(file_id, destination)

3. 이미지 파일 복사

from google.colab import drive
drive.mount('/content/drive')

!cp /content/drive/My\ Drive/ML/work/*.jpg ./imgs

4. 모델 실행

!python demo.py -c=configs/m2det512_vgg.py -m=m2det512_vgg.pth

5. 결과 표시

import cv2
import matplotlib.pyplot as plt

plt.figure(figsize=(5, 5), dpi=200)
img = cv2.imread('imgs/herd_of_horses_m2det.jpg')
show_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
plt.imshow(show_img)

소스 코드

참고