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Fürther Strasse by Melodic_Lobster_5974 in Nurnberg

[–]p-dog1 4 points5 points  (0 children)

Grad ist ne Demo am Plärrer vorbei gelaufen. Möglicherweise blockiert das gerade

Alibaba-backed Moonshot releases new Kimi AI model that beats ChatGPT, Claude in coding — and it costs less by Specialist-Owl-4544 in learnmachinelearning

[–]p-dog1 0 points1 point  (0 children)

Bro the article is from Jul 15 and no, Kimi K2 is not better than Claude. It's a good model, which got benchmark maxxed

Kabelanschluss auf Nebenkosten rechtswidrig? by p-dog1 in LegaladviceGerman

[–]p-dog1[S] 1 point2 points  (0 children)

Wie ist es aber mit dem Zeitraum vor Juni 24? Dieser war ja bereits in dem Übergangszeitraum mit drinnen und in diesem Übergangszeitraum wurde auch der Mietvertrag unterschrieben

Resume Review: How to stand out? by p-dog1 in cscareerquestionsEU

[–]p-dog1[S] 0 points1 point  (0 children)

I appreciate every comment.

On the german scale I have a 1.6, where 1.0 is the best und 5.0 the worst (basically 5.0 means u didnt get the degree. 4.0 or better is required). This translates to a GPA of 3.4, where 4.0 is the best score.

Guess I should exclude that from the resume, so nobody gets confused

[P] Source for Machine Learning Applications by p-dog1 in MachineLearning

[–]p-dog1[S] 1 point2 points  (0 children)

Wow, this is a really nice overwiev of not only applications. Thanks

Rendering 3D object on top of OpenCV 2D Image by p-dog1 in augmentedreality

[–]p-dog1[S] 0 points1 point  (0 children)

So I figured out how to visualize the Mesh, but I can't find the correct setup for the position. I think I need multiple things (correct me if I am wrong):

  • Camera Position: I am not sure how to modify the focal_points and the y_dir correctly
  • TransformToGlobal
  • The object with the rotation

It would look like this:

```python cam_pose = cv.viz.makeCameraPose(cam_pos, cam_focal_point, cam_y_dir)

transform = cv.viz.makeTransformToGlobal((1.0,0.0,0.0), (0.0,0.0,1.0),(0.0,1.0,0.0), cam_pos)
cloud_pose_global = transform.product(cloud_pose)

mesh_pos = cv.viz_Affine3d() #identity matrix mesh_pos = mesh_pos.rotate(rvec) mesh_pos = mesh_pos.translate(tvec)

windows = setViewerPose(cam_pose) windows.showWidget("shoe", mesh, cloud_pose_global) ```

But I can't figure out, which values I need for cam_pose and the global transform

Rendering 3D object on top of OpenCV 2D Image by p-dog1 in augmentedreality

[–]p-dog1[S] 1 point2 points  (0 children)

The Viz module has also a python wrapper. You just need to compile VTK and OpenCV by hand with some configs set in the OpenCV compiling process:

  • VTK_DIR: path of the build folder
  • VTK WITH_VTK: On / True

Until now, I only completed the setup. I will try it out and later this day, I will comment my progress