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s-gupta / rcnn-depth

Learning Rich Features from RGB-D Images for Object Detection and Segmentation
BSD 2-Clause "Simplified" License
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Error running demo - unable to recognize joint_bilateral_mex #5

Closed jananig closed 8 years ago

jananig commented 10 years ago

I tried to run demo in matlab after follwing the directions in the readme (building toolboxes, mcg, rcnn) and get the following error:

runname =

release

Undefined function 'joint_bilateral_mex' for input arguments of type 'single'.

Error in jointBilateral (line 16) aa = joint_bilateral_mex(single(II), single(refII), sigma1, sigma2);

Error in computeNormals>filterItChopOffIS (line 65) fFilt = jointBilateral(sp, f, 1, 1000);

Error in computeNormals (line 34) AtA = filterItChopOffIS(cat(3, AtARaw, AtbRaw), superpixels, disparity, sigmaSupport, sigmaSuperpixel, sigmaDisparity);

Error in wrapperComputeNormals (line 39) [N b] = computeNormals(X, Y, Z, disparity, missingMask, superpixels, sigmaSupport, sigmaDisparity, sigmaSuperpixel); Error in yCues (line 11) [N, b, pc] = wrapperComputeNormals(double(D)./100, false(size(D)), 3, s, C);

Error in getAllCues (line 12) [y1, y2, y3, angl1, angl2] = yCues(D, C, 1);

Error in detectEdge (line 17) cues = getAllCues(Iin, Din, C, colorModel, opts.rgbd3opts.vars, cacheFile);

Error in run_all (line 12) [E, Es, O] = detectEdge(I, D, [], C, model, sc, [], []);

Error in demo (line 6) run_all(I, D, RD, C, out_file);

s-gupta commented 10 years ago

Can you check the following:

If the mex file does not exist you can compile it by running make all in rgbdutils/imagestack/ folder and making sure it builds the target joint_bilateral_mex successfully.

ljhp commented 9 years ago

I tried to run demo in matlab(Win7),there is a error :C = cropCamera(getCameraParam('color')),Undefined function 'getCameraParam' for input arguments of type 'char';Could you help me ? and which part is tell "geocentric embedding for depth images" Thx!!

s-gupta commented 9 years ago

Did you follow the installation instructions and also checkout the nyu hooks from here: https://github.com/s-gupta/nyu-hooks ? This function is a part of nyu hooks.