How to compute mean/std? about a2j HOT 7 CLOSED

Sorry that I just see your comments yet.
And yes, we compute mean/std on training set, specifically, we first crop the original depth maps according to center points, which give us a hand-centered sub-image, then we compute the mean/std of all of these images.

from a2j.

def findMean(center):
    trainingImageDir = './train_nyu/'
    mean_D = 0
    for i in tqdm(range(72757)):    #72757
        D_ = scio.loadmat(trainingImageDir + str(i+1) + '.mat')['depth']
        D_ = np.array(D_,dtype=np.float)
        new_Xmin = center[i][0][0] - cropHandWidth//2 
        new_Ymin = center[i][0][1] - cropHandHeight//2 
        new_Xmax = center[i][0][0] + cropHandWidth//2 
        new_Ymax = center[i][0][1] + cropHandHeight//2 

        D = D_[int(new_Ymin):int(new_Ymax), int(new_Xmin):int(new_Xmax)]
        D[np.where(D >= center[i][0][2] + 200)] = center[i][0][2]
        D[np.where(D <= center[i][0][2] - 200)] = center[i][0][2]
        D -= center[i][0][2]
                   
        
        mean_D_ = D.mean(0).mean(0)
        mean_D += mean_D_
#        print(i)
        
    mean_D /= 72757
    
    return mean_D

I hope this helps.

from a2j.

Yes it really helps and I have understood. Thanks for your kind explanation! I will close this issue

from a2j.

Hello @zhangboshen, I tried to reproduce this but don't get the same results as yours. I believe it is the cropHandWidth and cropHandHeight. What values do you use for the above?

@DMCNerooo does yours match mean = -0.66877532 and std= 28.32958208

from a2j.

Hello @canuck6ix , I just want to understand the computation of mean/std in the data folder, but don't re-compute it. I use the value provided by the author. I think you can try to utilize above code "findMean" to get mean and then std, maybe there is little difference with author's but doesn't matter.
By the way, both cropHandWidth and cropHandHeight are set to 176 in this paper and project. Good luck!

from a2j.

@DMCNerooo Thanks for confirming width and height. I did utilize the code above and they are a bit different from the pre-computed ones. Here are the two for comparison:
autor's: mean = -0.67 std = 28.33
mine: mean = -3.86 std = 21.13

from a2j.

@DMCNerooo Thanks for confirming width and height. I did utilize the code above and they are a bit different from the pre-computed ones. Here are the two for comparison:
autor's: mean = -0.67 std = 28.33
mine: mean = -3.86 std = 21.13

@canuck6ix , I am sorry I just see your discuss now. And you can use your mean/std, I think you can also get a resonable result.

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