写一个yolo模型代码
时间: 2024-05-23 12:15:17 浏览: 75
YOLO模型的代码可以参考以下示例:
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense
# Create the model
model = Sequential()
# Add the convolutional layers
model.add(Conv2D(filters=16, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='relu', input_shape=(416, 416, 3)))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(filters=32, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(filters=64, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(filters=128, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
# Add the fully connected layers
model.add(Flatten())
model.add(Dense(units=1024, activation='relu'))
model.add(Dense(units=20, activation='softmax'))
# Compile the model
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])