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speedup test.py (select pixels by score before loops) #4

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speedup test.py (select pixels by score before loops) #4

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12 changes: 6 additions & 6 deletions test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,18 +24,18 @@ def detect(net,img):
olist = net(img)

bboxlist = []
for i in range(len(olist)/2): olist[i*2] = F.softmax(olist[i*2])
for i in range(len(olist)/2):
ocls,oreg = olist[i*2].data.cpu(),olist[i*2+1].data.cpu()
for i in range(len(olist)//2): olist[i*2] = F.softmax(olist[i*2])
olist = [oelem.data.cpu() for oelem in olist]
for i in range(len(olist)//2):
ocls,oreg = olist[i*2],olist[i*2+1]
FB,FC,FH,FW = ocls.size() # feature map size
stride = 2**(i+2) # 4,8,16,32,64,128
anchor = stride*4
for Findex in range(FH*FW):
windex,hindex = Findex%FW,Findex//FW
poss = zip(*np.where(ocls[:,1,:,:]>0.05))
for Iindex, hindex, windex in poss:
axc,ayc = stride/2+windex*stride,stride/2+hindex*stride
score = ocls[0,1,hindex,windex]
loc = oreg[0,:,hindex,windex].contiguous().view(1,4)
if score<0.05: continue
priors = torch.Tensor([[axc/1.0,ayc/1.0,stride*4/1.0,stride*4/1.0]])
variances = [0.1,0.2]
box = decode(loc,priors,variances)
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