Jump to content


Popular Content

Showing most liked content on 10/15/2018 in all areas

  1. 1 point
    Here is a basic setup for stitching vellum cloth together using the weld seams feature on the vellumdrape solver. Edge groups are assigned to the garment pattern pieces and define seams that will be stitched/welded. The edge groups are run through a subnet to produce companion point group for the edge groups. The point groups are used for stitching seams. The subnet allows you to increase or decrease the cloth resolution independent of these groups, so it is more like Marvelous Designer particle separation in that respect. The vellumdrape solver has been hacked to allow deforming collision geometry. All I did was disable the timeshift node which kept the deforming geometry locked to the start frame. ap_basic_vellum_drape_vest_101518.hiplc
  2. 1 point
    I can't take credit for it, but it needed to be shared. This made me cry with laughter.
  3. 1 point
    The Plate is the general name given to the footage you will work on, that can be « matchmoved » / « tracked » / « 3D Tracked », depending on what meaning you put behind, and on which you may composite 3D elements, or just clean, key, compositie 2D elements etc. with a proper compositing software. Tracking : this can have different meanings, but they are linked. Usually, with a compositing software, you can « track » elements also called features (of the image) or points. This may be indeed some specific patterns printed and glued on set, but it can be other zones of contrast in your image, called « features ». Tracking just mean selecting a pattern in your image, and try to follow it from one frame to another. So its shape shouldn’t change too much over time to have a good track of your elements. The results of tracking is a bunch of points : 1 position for each frame, that describes the move of your pattern. 3D tracking or matchmoving : you can do « matchmove » on 2D elements (you translate a 2D element with the result of your track above, and therefore it « matches » the movement of the pattern you tracked - in 2D; and thus the name « matchmove »). But sometimes, you need to rebuild your scene in 3D : objects and movements of the camera. For that purpose, you will need to track (see above) a bunch of points on your plate. At least a bunch of good tracks, but more often a ton of them (many hundreds) if the movements of the camera are more complex. I won’t enter into details as there are tons of matchmoving tutorials (FXPHD especially, the ones on PFTrack for examples). You can track manually (you usually do it when there are some points / patterns / zones of contrast of interest in your scene, that you specifically want to get in your 3D space), and you can let the software find itself some of points to follow, but you usually needs to manually clean them (for example « false » points : like when two objects that does not have the same position in space appear to cross themsleves on screen, giving a lovely zone of contrast to follow for the computer, that « sees » that as a feature that does NOT exist in space...). Once those 2D tracks obtained, you give as much info on the camera as possible, and then you let the computer « solve » the camera and the points : meaning, the computer will try to put those points in 3D space, try to put a virtual camera in this scene, recompute what this camera would see given its position & focal length & camera gate and the position of your points in space, and then compares this recomputed 2D positions of the points with the initial tracks you fed the software with. Then the computer iteratively try to adjust points and camera positions into space, to minimize their recomputed 2D positions with the initial tracks. That’s the way, after long computation times, and after a long 2D tracking process of « features », that you can have a cloud of points and a camera path, with estimated focal length and so on. From there, you can rebuild your scene (using your favorite modeling package), place nice 3D creatures / FX / objects and render them before compositing them on your initial / cleaned plate. To matchmove, you can do it in NukeX (Nuke does not have the 3D features, NukeX does), which is also the reference for compositing. But for complex matchmoves, I like to use 3DEqualizer, or PFTrack. You also have Syntheyes and Boujou, that many people also use... Of course, I have simplified : you may believe you have a good « solve », but you’ll see that what should be « straigth » or flat maybe bent etc., due to lens distortion. So you usually need to « undistort » your plate previously (using or not some reference pictures of grids taken with the same lens and camera that the ones used to film the footage). Concerning number of features to track in 2D to get a good 3D track : it depends on the length of your shot, the complexity of movements of your camera etc... The tracks should be as long as possible to cover many successive frames. You can have thousands of tracks that track features over 3 to 5 frames, before diying, but this may not be sufficient for complex camera moves... That’s why it must be thougth onset before filming :-) I recommend you the courses on compositing of Eran Dinur on FXPHD (Nuke), but they have many, many good ones on Nuke as well, the courses on PFtrack (still FXPHD), you also have History of VFX by Matt Leonard (Fxphd again) and « VFX Foundations » of Tahl Niran (fxphd again, and this guys works at Weta), and finally this book to better understand the global VFX process : The Filmmaker's Guide to Visual Effects: The Art and Techniques of VFX for Directors, Producers, Editors and Cinematographers Hope that answers a bit your questions :-)
  4. 1 point
    you can do it comfortably in vex since you can get parameter values using ch*("path/to/parm") however COP VEX context is older and I don't see a way to define Evaluation node path like in Attrib VOP so you'll probably have to use absolute paths and for that you can use opfullpath('.') the code will look something like this (careful, I added print just to test, don't use print on large images): string op = opfullpath("."); int lights = chi(op + "/lights"); for(int i=0; i<lights; i++){ string si = itoa(i); vector spot_pos = chv(op + "/spot_pos" + si); float spot_size = chf(op + "/spot_size" + si); float spot_int = chf(op + "/spot_int" + si); vector spot_color = chv(op + "/spot_color" + si); printf("\nLight%d: pos: %g | size: %f | int: %f | color: %g ", i, spot_pos, spot_size, spot_int, spot_color); } ts_multiparm_cop_vex.hip
  5. 1 point
    New blog post series on building a Python Rop in Houdini Useful if you need the Rop or intro to HDA building tutorial. Included download for noncom. Check it out. Thanks. http://www.eyevex.com/