Update base image build and deps

buildnum.txt

@@ -1 +1 @@
-5
+6

deploy.logs

@@ -3971,3 +3971,688 @@ Stage 3: Deploying to HuggingFace Space
 
 Updated buildnum.txt -> 5
 Committing changes...
+[main 0c1299f] Update base image build and deps
+ 2 files changed, 66 insertions(+), 1 deletion(-)
+✓ Changes committed
+
+Pushing to HuggingFace Space: gpue/foundationpose
+To https://huggingface.co/spaces/gpue/foundationpose
+   5ba2faa..0c1299f  main -> main
+
+✓ Pushed to HuggingFace
+
+HuggingFace will now:
+  1. Pull base image from DockerHub (gpue/foundationpose-base-l2:latest)
+  2. Start the Gradio app
+
+Following build logs...
+Press Ctrl+C to stop watching
+
+===== Build Queued at 2026-01-30 10:16:57 / Commit SHA: 5ba2faa =====
+
+--> FROM docker.io/gpue/foundationpose-base-l2:latest@sha256:fc145e095768c1df7af39afc4749deed854d49bb9a4d713791cdeaace05f37df
+DONE 0.0s
+
+DONE 83.5s
+
+DONE 147.9s
+
+--> WORKDIR /app
+DONE 0.0s
+
+--> COPY app.py client.py estimator.py masks.py .
+DONE 0.0s
+
+--> Pushing image
+DONE 11.1s
+
+--> Exporting cache
+DONE 0.1s
+
+
+====================================
+Build Status Check
+====================================
+
+Final Status: RUNNING
+✓ Deployment successful!
+
+Space URL: https://gpue-foundationpose.hf.space
+API URL: https://gpue-foundationpose.hf.space/gradio_api/info
+
+Test with: cd ../training && make test-perception-api
+
+Following application logs for 1 minute...
+data: {"data":"===== Application Startup at 2026-01-30 10:21:44 =====\n","timestamp":"2026-01-30T10:21:44Z"}
+
+data: {"data":"","timestamp":"2026-01-30T10:26:32.953Z"}
+
+data: {"data":"==========","timestamp":"2026-01-30T10:26:32.953Z"}
+
+data: {"data":"== CUDA ==","timestamp":"2026-01-30T10:26:32.953Z"}
+
+data: {"data":"==========","timestamp":"2026-01-30T10:26:32.953Z"}
+
+data: {"data":"","timestamp":"2026-01-30T10:26:32.957Z"}
+
+data: {"data":"CUDA Version 11.8.0","timestamp":"2026-01-30T10:26:32.957Z"}
+
+data: {"data":"","timestamp":"2026-01-30T10:26:32.958Z"}
+
+data: {"data":"Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.","timestamp":"2026-01-30T10:26:32.958Z"}
+
+data: {"data":"","timestamp":"2026-01-30T10:26:32.959Z"}
+
+data: {"data":"This container image and its contents are governed by the NVIDIA Deep Learning Container License.","timestamp":"2026-01-30T10:26:32.959Z"}
+
+data: {"data":"By pulling and using the container, you accept the terms and conditions of this license:","timestamp":"2026-01-30T10:26:32.959Z"}
+
+data: {"data":"https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license","timestamp":"2026-01-30T10:26:32.959Z"}
+
+data: {"data":"","timestamp":"2026-01-30T10:26:32.959Z"}
+
+data: {"data":"A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.","timestamp":"2026-01-30T10:26:32.959Z"}
+
+data: {"data":"","timestamp":"2026-01-30T10:26:32.980Z"}
+
+data: {"data":"[2026-01-30 10:26:38,806] INFO: Starting in REAL mode with FoundationPose","timestamp":"2026-01-30T10:26:38.806Z"}
+
+data: {"data":"/app/app.py:471: UserWarning: The parameters have been moved from the Blocks constructor to the launch() method in Gradio 6.0: theme. Please pass these parameters to launch() instead.","timestamp":"2026-01-30T10:26:38.807Z"}
+
+data: {"data":"  with gr.Blocks(title=\"FoundationPose Inference\", theme=gr.themes.Soft()) as demo:","timestamp":"2026-01-30T10:26:38.807Z"}
+
+data: {"data":"[2026-01-30 10:26:39,338] INFO: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"","timestamp":"2026-01-30T10:26:39.338Z"}
+
+data: {"data":"[2026-01-30 10:26:39,425] INFO: HTTP Request: GET http://localhost:7860/gradio_api/startup-events \"HTTP/1.1 200 OK\"","timestamp":"2026-01-30T10:26:39.425Z"}
+
+data: {"data":"[2026-01-30 10:26:39,449] INFO: HTTP Request: HEAD http://localhost:7860/ \"HTTP/1.1 200 OK\"","timestamp":"2026-01-30T10:26:39.449Z"}
+
+data: {"data":"[2026-01-30 10:27:20,572] INFO: generated new fontManager","timestamp":"2026-01-30T10:27:20.572Z"}
+
+data: {"data":"[2026-01-30 10:27:21,305] INFO: Initializing FoundationPose model...","timestamp":"2026-01-30T10:27:21.305Z"}
+
+data: {"data":"[2026-01-30 10:27:21,346] INFO: Using device: cuda","timestamp":"2026-01-30T10:27:21.346Z"}
+
+data: {"data":"[2026-01-30 10:27:21,346] INFO: Loading real FoundationPose model...","timestamp":"2026-01-30T10:27:21.346Z"}
+
+data: {"data":"The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.","timestamp":"2026-01-30T10:27:22.195Z"}
+
+data: {"data":"* Running on local URL:  http://0.0.0.0:7860","timestamp":"2026-01-30T10:27:22.196Z"}
+
+data: {"data":"* To create a public link, set `share=True` in `launch()`.","timestamp":"2026-01-30T10:27:22.196Z"}
+
+data: {"data":"\r0it [00:00, ?it/s]\r0it [00:00, ?it/s]","timestamp":"2026-01-30T10:27:22.196Z"}
+
+data: {"data":"[2026-01-30 10:27:26,774] WARNING: No model weights found in weights","timestamp":"2026-01-30T10:27:26.775Z"}
+
+data: {"data":"[2026-01-30 10:27:26,775] WARNING: Model will not work without weights","timestamp":"2026-01-30T10:27:26.775Z"}
+
+data: {"data":"[2026-01-30 10:27:26,775] INFO: FoundationPose estimator initialized (device: cuda)","timestamp":"2026-01-30T10:27:26.775Z"}
+
+data: {"data":"[2026-01-30 10:27:26,775] INFO: ✓ Real FoundationPose model initialized successfully","timestamp":"2026-01-30T10:27:26.775Z"}
+
+data: {"data":"[2026-01-30 10:27:26,775] INFO: FoundationPose inference ready","timestamp":"2026-01-30T10:27:26.775Z"}
+
+data: {"data":"[2026-01-30 10:27:26,775] INFO: Registering object 'target_cube' with 0 reference images","timestamp":"2026-01-30T10:27:26.775Z"}
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+data: {"data":"[2026-01-30 10:27:26,778] INFO: ✓ Registered object 'target_cube' with 0 reference images","timestamp":"2026-01-30T10:27:26.778Z"}
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+data: {"data":"[send()] 10.20.24.62:36996 - \"GET /gradio_api/upload_progress?upload_id=d2bq968rxa4 HTTP/1.1\" 200","timestamp":"2026-01-30T10:27:36.913Z"}
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+data: {"data":"[send()] 10.20.6.23:51260 - \"POST /gradio_api/upload?upload_id=d2bq968rxa4 HTTP/1.1\" 200","timestamp":"2026-01-30T10:27:36.915Z"}
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+data: {"data":"[send()] 10.20.35.217:13996 - \"POST /gradio_api/queue/join?logs=container HTTP/1.1\" 200","timestamp":"2026-01-30T10:27:46.393Z"}
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+data: {"data":"[2026-01-30 10:27:46,411] WARNING: Depth (720, 1280) and RGB (160, 240) sizes don't match, resizing depth","timestamp":"2026-01-30T10:27:46.411Z"}
+
+data: {"data":"[2026-01-30 10:27:46,414] INFO: Converted 8-bit depth to float32, range: [1.235, 5.000]m","timestamp":"2026-01-30T10:27:46.415Z"}
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+data: {"data":"[2026-01-30 10:27:46,414] WARNING: Depth image has 3 channels, using first channel","timestamp":"2026-01-30T10:27:46.415Z"}
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+data: {"data":"[2026-01-30 10:27:46,417] INFO: Otsu mask coverage 2.6%","timestamp":"2026-01-30T10:27:46.417Z"}
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+data: {"data":"[2026-01-30 10:27:46,417] INFO: Estimating pose for object 'target_cube'","timestamp":"2026-01-30T10:27:46.418Z"}
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+data: {"data":"[2026-01-30 10:27:46,418] INFO: Initializing score predictor...","timestamp":"2026-01-30T10:27:46.418Z"}
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+data: {"data":"  _C._set_default_tensor_type(t)","timestamp":"2026-01-30T10:27:47.824Z"}
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+data: {"data":"[predict()] ob_in_cams:(252, 4, 4)","timestamp":"2026-01-30T10:27:47.824Z"}
+
+data: {"data":"[predict()] self.cfg.use_normal:False","timestamp":"2026-01-30T10:27:47.824Z"}
+
+data: {"data":"[predict()] trans_normalizer:[0.019999999552965164, 0.019999999552965164, 0.05000000074505806], rot_normalizer:0.3490658503988659","timestamp":"2026-01-30T10:27:47.825Z"}
+
+data: {"data":"[predict()] making cropped data","timestamp":"2026-01-30T10:27:47.826Z"}
+
+data: {"data":"[make_crop_data_batch()] Welcome make_crop_data_batch","timestamp":"2026-01-30T10:27:47.826Z"}
+
+data: {"data":"[2026-01-30 10:27:47,838] ERROR: Pose estimation failed: expected mat1 and mat2 to have the same dtype, but got: float != double","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"Traceback (most recent call last):","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/estimator.py\", line 229, in estimate_pose","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    pose = estimator.register(","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/estimater.py\", line 215, in register","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    poses, vis = self.refiner.predict(mesh=self.mesh, mesh_tensors=self.mesh_tensors, rgb=rgb, depth=depth, K=K, ob_in_cams=poses.data.cpu().numpy(), normal_map=normal_map, xyz_map=xyz_map, glctx=self.glctx, mesh_diameter=self.diameter, iteration=iteration, get_vis=self.debug>=2)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 115, in decorate_context","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    return func(*args, **kwargs)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/learning/training/predict_pose_refine.py\", line 184, in predict","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    pose_data = make_crop_data_batch(self.cfg.input_resize, B_in_cams, mesh_centered, rgb_tensor, depth_tensor, K, crop_ratio=crop_ratio, normal_map=normal_map, xyz_map=xyz_map_tensor, cfg=self.cfg, glctx=glctx, mesh_tensors=mesh_tensors, dataset=self.dataset, mesh_diameter=mesh_diameter)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 115, in decorate_context","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    return func(*args, **kwargs)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/learning/training/predict_pose_refine.py\", line 31, in make_crop_data_batch","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    tf_to_crops = compute_crop_window_tf_batch(pts=mesh.vertices, H=H, W=W, poses=ob_in_cams, K=K, crop_ratio=crop_ratio, out_size=(render_size[1], render_size[0]), method=method, mesh_diameter=mesh_diameter)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/Utils.py\", line 611, in compute_crop_window_tf_batch","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    projected = (K@pts.reshape(-1,3).T).T","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"RuntimeError: expected mat1 and mat2 to have the same dtype, but got: float != double","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"Traceback (most recent call last):","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/estimator.py\", line 229, in estimate_pose","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    pose = estimator.register(","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/estimater.py\", line 215, in register","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    poses, vis = self.refiner.predict(mesh=self.mesh, mesh_tensors=self.mesh_tensors, rgb=rgb, depth=depth, K=K, ob_in_cams=poses.data.cpu().numpy(), normal_map=normal_map, xyz_map=xyz_map, glctx=self.glctx, mesh_diameter=self.diameter, iteration=iteration, get_vis=self.debug>=2)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 115, in decorate_context","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    return func(*args, **kwargs)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/learning/training/predict_pose_refine.py\", line 184, in predict","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    pose_data = make_crop_data_batch(self.cfg.input_resize, B_in_cams, mesh_centered, rgb_tensor, depth_tensor, K, crop_ratio=crop_ratio, normal_map=normal_map, xyz_map=xyz_map_tensor, cfg=self.cfg, glctx=glctx, mesh_tensors=mesh_tensors, dataset=self.dataset, mesh_diameter=mesh_diameter)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py\", line 115, in decorate_context","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    return func(*args, **kwargs)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/learning/training/predict_pose_refine.py\", line 31, in make_crop_data_batch","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    tf_to_crops = compute_crop_window_tf_batch(pts=mesh.vertices, H=H, W=W, poses=ob_in_cams, K=K, crop_ratio=crop_ratio, out_size=(render_size[1], render_size[0]), method=method, mesh_diameter=mesh_diameter)","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"  File \"/app/FoundationPose/Utils.py\", line 611, in compute_crop_window_tf_batch","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"    projected = (K@pts.reshape(-1,3).T).T","timestamp":"2026-01-30T10:27:47.839Z"}
+
+data: {"data":"RuntimeError: expected mat1 and mat2 to have the same dtype, but got: float != double","timestamp":"2026-01-30T10:27:47.839Z"}
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+data: {"data":"[send()] 10.20.6.23:33966 - \"GET /assets/ImagePreview-CCVfwC4m.css HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.787Z"}
+
+data: {"data":"[send()] 10.20.6.23:19894 - \"GET /assets/BaseForm-Cq4NTR3O.js HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.790Z"}
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+
+data: {"data":"[send()] 10.20.24.62:52369 - \"GET /assets/Button-Df8YIieX.js HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.825Z"}
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+
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+
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+
+data: {"data":"[send()] 10.20.24.62:60720 - \"GET /assets/Example-Cf5LgY5L.js HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.841Z"}
+
+data: {"data":"[send()] 10.20.6.23:62251 - \"GET /assets/FullscreenButton-DwvGFBPZ.js HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.842Z"}
+
+data: {"data":"[send()] 10.20.24.62:52873 - \"GET /assets/ShareButton-803mPI0v.js HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.843Z"}
+
+data: {"data":"[send()] 10.20.6.23:37855 - \"GET /assets/Index-Cvikf8L_.js HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.845Z"}
+
+data: {"data":"[send()] 10.20.35.217:26574 - \"GET /static/fonts/Montserrat/Montserrat-Bold.woff2 HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.973Z"}
+
+data: {"data":"[send()] 10.20.6.23:37855 - \"GET /static/fonts/IBMPlexMono/IBMPlexMono-Regular.woff2 HTTP/1.1\" 200","timestamp":"2026-01-30T10:35:25.982Z"}
+
+Traceback (most recent call last):
+  File "<stdin>", line 18, in <module>
+KeyboardInterrupt
+===================================
+FoundationPose Deployment
+===================================
+
+L1 inputs unchanged; skipping L1 image job.
+L2 inputs unchanged; skipping L2 image job.
+Committing changes for job context...
+No staged changes for job context
+
+
+Stage 3: Deploying to HuggingFace Space
+
+Updated buildnum.txt -> 6
+Committing changes...