Francisco Rodolfo Barbosa Anda
Francisco Rodolfo Barbosa Anda
`out = c.net_actions.eval(img0, img1)` returns: ``` Traceback (most recent call last): File "", line 1, in TypeError: eval() missing 1 required positional argument: 'image_1' ``` (using tried with img0 and...
I'm running this: `python controller.py eval ../../../test/001.jpg ../../../test/002.jpg ../../../test/` And I get this: ``` ls ../../../test 001.jpg 002.jpg 'flow[0].fwd.flo' 'occ[0].fwd.float3' 001.png 002.png 'mb[0].fwd.float3' 'occ_soft[0].fwd.float3' 001.tif 002.tif 'mb_soft[0].fwd.float3' ``` I found...
When I tried to run your examples code I get this: ``` import netdef_slim as nd nd.load_module('FlowNet3/CSS/controller.py') Using /home/brisa/frbarbos/lmbspecialops/build/lib/lmbspecialops.so c = Controller() Traceback (most recent call last): File "", line...
netdef_slim package doesn't work for grayscale images, only for RGB images. Which is a problem with datasets like UCSD that is composed of grayscale TIFF images.
Your implementation use an input size of (224, 224, 3) but the paper says they use (227, 227, 3).
Your implementation use 5 epochs. The paper says that they used 200000 iterations. The training set is composed of 7799 images. Using a batch size of 32 this would be...
Your implementation uses Batch Normalization but in the paper is said that the network use Local Response Normalization.
Depending in the size of the label and how near to the edge it is, it goes over the timeline edge to the page border or the content. Examples: 
**Error:** During compilation I got the next error: ``` [ 33%] Building CXX object CMakeFiles/calib_k4a.dir/src/camera_extrinsics.cpp.o /home/francisco/Workspace/k4a-calibration/src/camera_extrinsics.cpp: In member function ‘bool ExtrinsicsCalibration::CalculateExtrinsics(const std::vector&, std::vector&)’: /home/francisco/Workspace/k4a-calibration/src/camera_extrinsics.cpp:91:22: error: ‘SetVerbosityLevel’ is not a member...