Comments (5)
from deep-prior-pp.
Thank you. I use the pretrained parameters of MSRA15 dataset you provide to run the test_realtimepipeline.py.
Here is the settings and results of 'P0' sequence. But the result is not good. Is that right?
poseNetParams = PoseRegNetParams(type=11, nChan=1, wIn=128, hIn=128, batchSize=128, numJoints=21, nDims=3)
poseNetParams.loadFile = "MSRA_network_prior_0.pkl"
comrefNetParams = ScaleNetParams(type=1, nChan=1, wIn=128, hIn=128, batchSize=1, resizeFactor=2, numJoints=1, nDims=3)
comrefNetParams.loadFile = "net_MSRA15_COM_AUGMENT.pkl"
config = {'fx': 241.42, 'fy': 241.42, 'cube': (250, 250, 250)}
from deep-prior-pp.
Interesting effect, thanks for sharing. It certainly does not look correct, it should work much better. Did you check 1) the networks are loaded correctly, 2) the data is in the correct format, 3) the crop for the networks is in the correct format, 4) it seems you run with "com" mode, you could try the tracking mode with refined location enabled.
from deep-prior-pp.
The result is much better from the third frame of the sequence using the tracking mode. Why the first two seem still bad and the following correct?
from deep-prior-pp.
Yes, that one looks much better. Possibly something is wrongly initialized? I am not sure about the details how you run it.
from deep-prior-pp.
Related Issues (20)
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from deep-prior-pp.