Using a pre-trained nasnet model to inference a photo via pytorch
mkdir data
Next, put the photo you want to predict with under the /data directory.
pip install pretrainedmodels
python nasnet_test.py
# Configuration
num_processes = 3
cores_per_process = 3
batch_size = 100
eval_image_size = 236
num_test_data_per_process = 200
dataset_name = 'imagenet'
num_preprocessing_threads = 4
labels_offset = 0
model_name = 'inceptionv3'
preprocessing_name = 'inceptionv3'
moving_average_decay = None
quantize = False
use_grayscale = False
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent