Open xiaoQxiong opened 3 years ago
没有提供可直接使用的模型,当前提供的都是用于二次训练的预训练模型
但是这样个人其实没有那么多显卡 导致batchsize 不能设置大,训练效果差 无法享受到 百度公布模型的性能
请直接手动保存如下的内容为model.yml,与pdparams放在同一个目录即可使用paddlex.load_model加载,如若要进一步进行部署,可使用paddlex --export_model
命令进行导出,即可得到__model__
、__params__
和model.yml
文件
Model: PPYOLO
Transforms:
- Resize:
interp: CUBIC
target_size: 608
- Normalize:
mean:
- 0.485
- 0.456
- 0.406
std:
- 0.229
- 0.224
- 0.225
_Attributes:
eval_metrics:
bbox_map: 0.0
fixed_input_shape: null
labels:
- person
- bicycle
- car
- motorcycle
- airplane
- bus
- train
- truck
- boat
- traffic light
- fire hydrant
- stop sign
- parking meter
- bench
- bird
- cat
- dog
- horse
- sheep
- cow
- elephant
- bear
- zebra
- giraffe
- backpack
- umbrella
- handbag
- tie
- suitcase
- frisbee
- skis
- snowboard
- sports ball
- kite
- baseball bat
- baseball glove
- skateboard
- surfboard
- tennis racket
- bottle
- wine glass
- cup
- fork
- knife
- spoon
- bowl
- banana
- apple
- sandwich
- orange
- broccoli
- carrot
- hot dog
- pizza
- donut
- cake
- chair
- couch
- potted plant
- bed
- dining table
- toilet
- tv
- laptop
- mouse
- remote
- keyboard
- cell phone
- microwave
- oven
- toaster
- sink
- refrigerator
- book
- clock
- vase
- scissors
- teddy bear
- hair drier
- toothbrush
model_type: detector
num_classes: 80
_init_params:
anchor_masks: null
anchors: null
backbone: ResNet50_vd_ssld
ignore_threshold: 0.7
input_channel: 3
label_smooth: false
nms_iou_threshold: 0.45
nms_keep_topk: 100
nms_score_threshold: 0.01
nms_topk: 1000
num_classes: 6
scale_x_y: 1.05
train_random_shapes:
- 320
- 352
- 384
- 416
- 448
- 480
- 512
- 544
- 576
- 608
use_coord_conv: true
use_drop_block: true
use_iou_aware: true
use_iou_loss: true
use_matrix_nms: true
use_spp: true
with_dcn_v2: true
completed_epochs: 1
status: Normal
version: 1.3.4
感谢感谢
问题类型:模型部署 问题描述
paddlex 的预训练模式PPYOLO 为什么不是标准的model.yml model params文件,而仅有一个pdparams ========================
请在这里描述您在使用过程中的问题,说明您的部署环境,部署需求,模型类型和应用场景等,便于开发人员快速响应。