Datasets:
jblitzar
/
github-python-corpus

Dataset card Data Studio Files
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device=device, dtype=torch.float
)
pts2d_gt = BPnP.batch_project(P, pts3d_gt, K)
bpnp = BPnP.BPnP.apply
theta = (1.1*torch.randn(4,device=device)).requires_grad_()
optimizer = torch.optim.SGD({theta}, lr = 0.00001)
losses = []
ite = 2000
ini_pose = torch.zeros(1,6, device=device)
ini_pose[0,5] = 999
track_Ks = np.empty([ite,4])
for i in range(ite):
cp = 1000*torch.sigmoid(theta)
row1 = torch.cat((cp[0].view(1),torch.zeros(1,device=device).requires_grad_(),cp[2].view(1)),dim=-1).view(1,3)
row2 = torch.cat((torch.zeros(1,device=device).requires_grad_(),cp[1].view(1),cp[3].view(1)),dim=-1).view(1,3)
row3 = torch.tensor([[0,0,1]], device=device, dtype=torch.float).requires_grad_()
K_out = torch.cat((row1,row2,row3),dim=0)
P_out = bpnp(pts2d_gt,pts3d_gt,K_out, ini_pose)
pts2d_pro = BPnP.batch_project(P_out, pts3d_gt, K_out).squeeze()
loss = ((pts2d_pro - pts2d_gt)**2).sum()
print('i: {0:4d}, loss:{1:1.10f}'.format(i, loss.item()))
optimizer.zero_grad()
loss.backward()
optimizer.step()
losses.append(loss.item())
track_Ks[i,:] = cp.detach().cpu().numpy()
if loss.item() < 0.001:
break
ini_pose = P_out.detach()
plt.subplot(1,2,1)
plt.plot(list(range(len(losses))), losses)
plt.title('Loss evolution')
plt.subplot(1,2,2)
plt.plot(list(range(len(losses))), track_Ks[:len(losses),:] )
plt.title('Intrinsic parameters evolution')
plt.legend(('f_x', 'f_y', 'c_x', 'c_y'),bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
plt.show()
# savemat('CamCali_temp.mat',{'losses':losses, 'track_Ks':track_Ks})
# <FILESEP>
from doc_HttpRequestResponse import DocHTTPRequestResponse
from elasticsearch_dsl.connections import connections
from elasticsearch_dsl import Index
from datetime import datetime
connections.create_connection(hosts=["localhost"])
idx = Index("test")
idx.doc_type(DocHTTPRequestResponse)
#idx.create()
DocHTTPRequestResponse.init()
d = DocHTTPRequestResponse(
protocol="http",
host="foobar.com",
port=80
)
d.add_request_header("User-Agent: foobar")
d.add_request_parameter("url", "id", "123")
d.add_request_parameter("url", "doc", "234")
d.add_response_header("X-Content-Type-Options: nosniff")
d.add_response_header("X-Frame-Options: DENY")
d.add_response_header("X-XSS-Protection: 1; mode=block")
d.add_response_cookie("SESSIONID", "foobar1234")
d.add_response_cookie("foo", "bar", "foobar.com", "/foo", datetime.now())
d.response.body = "This is a test!"
d.request.method = "GET"
d.save()
d = DocHTTPRequestResponse(
protocol="http",
host="foobar.com",
port=80
)
d.add_request_header("User-Agent: foobar")
d.add_request_parameter("url", "id", "123")
d.add_request_parameter("url", "doc", "456")
d.add_response_header("X-Frame-Options: SAMEORIGIN")
d.add_response_cookie("SESSIONID", "foobar1234")
d.add_response_cookie("foo", "bar", "foobar.com", "/foo", datetime.now())
d.request.method = "GET"
d.response.body = "This is a test!"
d.save()