python ImageAI 物体检测

╰+哭是因爲堅強的太久メ 2023-01-20 05:59 163阅读 0赞

##### 1.安装依赖 #####

yum install mesa-libGL.x86_64
    
    pip3 install tensorflow==2.4.0
    pip3 install keras
    pip3 install pandas
    pip3 install numpy
    pip3 install pillow
    pip3 install scipy
    pip3 install h5py
    pip3 install matplotlib
    pip3 install opencv-python
    pip3 install keras-resnet
    pip3 install imageai --upgrade

##### 2.下载模型 #####

# 下载一张图片
    # wget -O image3.jpg https://xxx/example.png
    wget https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/yolo.h5

#### 3.参考示例 ####

from imageai.Detection import ObjectDetection
    import os
    import time
    
    execution_path = os.getcwd()
    
    detector = ObjectDetection()
    # detector.setModelTypeAsRetinaNet()
    detector.setModelTypeAsYOLOv3()
    
    # 载入已训练好的文件
    # detector.setModelPath( os.path.join(execution_path , "resnet50_coco_best_v2.1.0.h5"))
    detector.setModelPath(os.path.join(execution_path, "yolo.h5"))
    detector.loadModel()
    
    # 将检测后的结果保存为新图片
    detections = detector.detectObjectsFromImage(input_image=os.path.join(execution_path, "image1.jpg"),
                                                 output_image_path=os.path.join(execution_path, "image3new.jpg"))
    
    
    for eachObject in detections:
        print(eachObject["name"], " : ", eachObject["percentage_probability"], " : ",
              eachObject["box_points"])  ##预测物体名:预测概率:物体两点坐标（左上，右下）
        print("--------------------------------")

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NvY2t0YWlsX3B5_size_16_color_FFFFFF_t_70]  
参考:https://blog.csdn.net/qingfengxd1/article/details/108203954  
参考:https://imageai.readthedocs.io/en/latest/detection/  
参考：https://blog.csdn.net/zkt286468541/article/details/81040274

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0NvY2t0YWlsX3B5_size_16_color_FFFFFF_t_70]: /images/20221021/7f5da5cadde745f898939a5385ac07be.png