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Where is to download dome135's '/media/posefs0c/panopticdb/a4/hdImgs/' data? #4

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MasonForFun opened this issue Oct 11, 2019 · 4 comments

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@MasonForFun
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MasonForFun commented Oct 11, 2019

Hi,

Thanks for the awsome project. I am training whole-body model by setting sAddDome 1, but it seems that I need the following data. Can you tell me where I can get it?
sMediaDirectory = '/media/posefs0c/panopticdb/a4/hdImgs/'

@gineshidalgo99
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Good catch. Please, try with sAddDome = 0 for now. It will take me some time to actually collect those images. There are a lot in there.

@MasonForFun
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Get it. Thanks for your response.

@jerry10301
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Hello,
I also need the data. Thank you a lot~

@MikeEnvi
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MikeEnvi commented Feb 7, 2020

Hello. I have meet a problem that can't be solved by myself. Please help me.
I want just train model as origin model that output 18 points of body.
First, I have generated the COCO dataset LMDB files(without foot、hand、face dataset) by myself followed your step descriped at /Train/README.md.
I modified the c_generateLmdbs.py file by uncommented line 136 and line 164, other code not modified.

Second, I have finished complied Caffe. Runing script file generateProtoTxt.py generate the Caffe ProtoTxt . I modified generateProtoTxt.py follow README.md, set sAddFoot=0,sAddMpii=0, sAddFace=0 and sAddHands=0,sAddDome=0,sProbabilityOnlyBackground=0, sSuperModel=0,.

my pose_trianing.prototxt is like this:(data layer)

layer {
name: "image"
type: "OPData"
top: "image"
top: "label"
data_param {
batch_size: 10
backend: LMDB
}
op_transform_param {
stride: 8
max_rotate_degree: 45
crop_size_x: 368
crop_size_y: 368
center_perterb_max: 40.0
center_swap_prob: 0.0
scale_prob: 1.0
scale_min: 0.333333333
scale_max: 1.5
target_dist: 0.6
number_max_occlusions: 2
sigmas: "7.0"
model: "COCO_17;COCO_17_17"
source_background: "/mnt/zhong/openpose_train/dataset/lmdb_background"
source: "/mnt/zhong/openpose_train/dataset/lmdb_coco"
media_directory:""
normalization: 0
add_distance: false
}
}

Error:
I run the comand "bash train_pose.sh”. Meet next error:
terminate called after throwing an instance of 'std::runtime_error'
what(): Error: mSources.size()!=nModels.size() at 56, OPDatalayer. src/caffe/openpose/layers/oPDatalayer.cpp
*** Aborted at 1581070034(unix time ) try "data -d @1581070034" if you are using GUN data ***
.....

Does it only train model which output 25 points (Body+ Foot)? Can't train model which output 18 points(Body) as origin openPose? @gineshidalgo99 @jerry10301 @MasonForFun

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