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About Regression + Classification and Pretraining #10

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HEUzhouhanwen opened this issue Jan 6, 2018 · 3 comments
Open

About Regression + Classification and Pretraining #10

HEUzhouhanwen opened this issue Jan 6, 2018 · 3 comments

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@HEUzhouhanwen
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Hi!
In paper 'Real-Time Grasp Detection Using Convolutional Neural Networks'
part IV. GRASP DETECTION WITH NEURAL NETWORKS
C. Regression + Classification
D. MultiGrasp Detection
Do you have a program?
part V. EXPERIMENTS AND EVALUATION
C. Pretraining
Is models/imagenet/m2/m2.ckpt the weight of pre-training results saved?
or models/imagenet/m4/m4.ckpt
Thank you!
Shu Guo!

@HEUzhouhanwen
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The loss is stable at 30000-40000,I think it is related to Pretraining!

@tnikolla
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tnikolla commented Jan 13, 2018

I don't have a program for Reg+Class or MultiGrasp. Fill free to contribute.

models/imagenet/... are the saved parameters for imagenet.
models/grasp/... are the saved parameters for grasping dataset.

@zhoumo1121
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ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64: 'Tensor("truediv:0", shape=(), dtype=float64, device=/device:CPU:0)'
May I ask how to solve this problem? Thanks, I've been working on it for a long time!

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