将模型和参数导入之后生成APP后点击开始使用后闪退,不知道是什么原因
EasyEdge设置参数
{
"img_mean": [0.5095, 0.5463, 0.5741],
"resize": [224,224],
"scale": [0.003922, 0.003922, 0.003922],
"channelOrder": "HWC",
"colorFormat": "RGB",
"inputNodeName": "data",
"outputNodeName": "input"
}
PaddleClas训练参数
mode: 'train'
ARCHITECTURE:
name: "GoogLeNet"
pretrained_model: ""
model_save_dir: "./output/"
classes_num: 13
total_images: 12788
save_interval: 1
validate: True
valid_interval: 1
epochs: 100
topk: 5
image_shape: [3, 224, 224]
LEARNING_RATE:
function: 'CosineWarmup'
params:
lr: 0.01
OPTIMIZER:
function: 'Momentum'
params:
momentum: 0.9
regularizer:
function: 'L2'
factor: 0.0001
TRAIN:
batch_size: 512
num_workers: 0
file_list: "./dataset/dataset1/train_list.txt"
data_dir: "./dataset/dataset1/"
shuffle_seed: 0
transforms:
- DecodeImage:
to_rgb: True
to_np: False
channel_first: False
- RandCropImage:
size: 224
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1./255.
mean: [0.5095, 0.5463, 0.5741]
std: [0.2606, 0.2604, 0.2922]
order: ''
- ToCHWImage:
VALID:
batch_size: 512
num_workers: 0
file_list: "./dataset/dataset1/val_list.txt"
data_dir: "./dataset/dataset1/"
shuffle_seed: 0
transforms:
- DecodeImage:
to_rgb: True
to_np: False
channel_first: False
- ResizeImage:
resize_short: 256
- CropImage:
size: 224
- NormalizeImage:
scale: 1.0/255.0
mean: [0.5095, 0.5463, 0.5741]
std: [0.2606, 0.2604, 0.2922]
order: ''
- ToCHWImage:
框架现在貌似2.0还不支持
自己给自己顶