Mediapipe pose detection

Triompheloro

Hello, How can I use mediapipe pose detection on oak4 camera ? It's not available in the model zoo. Thanks!

KlemenSkrlj

Hi @Triompheloro ,
Indeed this model is not currently on the Zoo. The main reason for this is that historically we have heard more requests for YOLO Pose models (e.g. YOLOv8 Pose) and Lite-HRNet. But there shouldn't be any obvious blocker for running MediaPipe Pose model on device as well. The first step in this process is finding an ONNX of this model (or exporting one manually) and then you would upload the ONNX to HubAI and go through the RVC4 conversion.
I quickly tried taking the tlite model from here, uploading it to HubAI (we support .tflite models as well though this path is sometimes not as stable as ONNX) and the conversion to RVC4 went through. So we'll add an internal task to make it this model generally available directly through Zoo as well. But this might take some time because we are swamped with other higher priority tasks at the momet.
Best,
Klemen

Triompheloro

Thanks for helping,
I tried my best to convert the .tfile from the link you provided using the luxonis hub model converter, from yesterday, but It always fail. Then I also went to the hugging face models to search the onnx version of the mediapipe human pose detection model but this doesn't work either. I'll be glad if you can share the .rcv4.tar.xz file of this model. Thanks.

KlemenSkrlj

Triompheloro would you be able to share the conversion error log you get when you tried? It should be displayed on every failed conversion.

I could share the model with you but I would need to know the correct model specific values to put in these input fields. This is why I would rather suggest we pin down the error you are having so you are able to then convert it yourself with desired values.

Triompheloro

I took the models from here : qualcomm/MediaPipe-Pose-Estimation · Hugging Face
I downloaded the w8a8 tflite format.

Error LOG :
[2026-03-25 12:38:16.481833+00:00] {pod.py:1280} INFO - Building pod model-export-ijodlg27 with labels: {'dag_id': 'export_easyml', 'task_id': 'export_model', 'run_id': 'manual__2026-03-25T123755.3819490000-e537d57c4', 'kubernetes_pod_operator': 'True', 'try_number': '1'} [2026-03-25 12:40:26.321509+00:00] {pod.py:982} INFO - [base] logs: [INFO] AISW SDK environment set [2026-03-25 12:40:26.321553+00:00] {pod.py:982} INFO - [base] logs: [INFO] QNN_SDK_ROOT: /opt/snpe [2026-03-25 12:40:26.321610+00:00] {pod.py:982} INFO - [base] logs: [INFO] SNPE_ROOT: /opt/snpe [2026-03-25 12:40:26.321936+00:00] {pod.py:982} INFO - [base] logs: WARNING /usr/local/lib/python3.10/site-packages/albumentations/a logging.py:104 [2026-03-25 12:40:26.321989+00:00] {pod.py:982} INFO - [base] logs: NumPy version >=1.23.5 and <2.5.0 is required for this [2026-03-25 12:40:26.322185+00:00] {pod.py:982} INFO - [base] logs: version of SciPy (detected version 1.23.4) [2026-03-25 12:40:26.322230+00:00] {pod.py:982} INFO - [base] logs: from scipy import special [2026-03-25 12:40:26.322307+00:00] {pod.py:982} INFO - [base] logs: [2026-03-25 12:40:26.322584+00:00] {pod.py:982} INFO - [base] logs: `register_module` is deprecated, use `register` instead. [2026-03-25 12:40:26.322636+00:00] {pod.py:982} INFO - [base] logs: PUT_FILE_REGISTRY.register_module(module=plugin_class) [2026-03-25 12:40:26.322708+00:00] {pod.py:982} INFO - [base] logs: [2026-03-25 12:40:26.322807+00:00] {pod.py:982} INFO - [base] logs: [WARNING] Using pre-defined arguments for quantization mode INT8_STANDARD, which will override user-provided SNPE arguments. If you need full control of SNPE arguments, set `rvc4.quantization_mode: CUSTOM` in the config or CLI. | init:57 [2026-03-25 12:40:26.323203+00:00] {pod.py:982} INFO - [base] logs: [WARNING] Input file type is not ONNX. Skipping pre-processing. | init:108 [2026-03-25 12:40:26.323753+00:00] {pod.py:982} INFO - [base] logs: [INFO] Exporting for RVC4 | onnx_to_dlc:295 [2026-03-25 12:40:26.323811+00:00] {pod.py:982} INFO - [base] logs: [INFO] Executing `snpe-tflite-to-dlc -i shared_with_container/outputs/PoseDetector_to_rvc4_2026_03_25_12_39_41/intermediate_outputs/PoseDetector.tflite --input_dim image 1,3,128,128 --input_dtype image uint8 --out_name box_coords_1 --out_name box_coords_2 --out_name box_scores_1 --out_name box_scores_2 --input_layout image NCHW` | enter:172 [2026-03-25 12:40:26.324163+00:00] {pod.py:982} WARNING - [base] logs: [INFO] /opt/snpe/lib/python/qti/tvm/relay/analysis/sparse_dense.py:25: UserWarning: A NumPy version >=1.23.5 and <2.5.0 is required for this version of SciPy (detected version 1.23.4) | _reader:191 [2026-03-25 12:40:26.324590+00:00] {pod.py:982} INFO - [base] logs: [INFO] import scipy.sparse as sp | _reader:191 [2026-03-25 12:40:26.324841+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2026-03-25 12:39:53,099 - 240 - ERROR - Encountered Error: Traceback (most recent call last): | _reader:191 [2026-03-25 12:40:26.325180+00:00] {pod.py:982} INFO - [base] logs: [INFO] 7: TVMFuncCall | _reader:191 [2026-03-25 12:40:26.325398+00:00] {pod.py:982} INFO - [base] logs: [INFO] 6: 0x000078a2c5011f2f | _reader:191 [2026-03-25 12:40:26.325564+00:00] {pod.py:982} INFO - [base] logs: [INFO] 5: tvm::transform:😛ass::operator()(tvm::IRModule) const | _reader:191 [2026-03-25 12:40:26.325624+00:00] {pod.py:982} INFO - [base] logs: [INFO] 4: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.325722+00:00] {pod.py:982} INFO - [base] logs: [INFO] 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.325875+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.325983+00:00] {pod.py:982} INFO - [base] logs: [INFO] 1: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.326246+00:00] {pod.py:982} INFO - [base] logs: [INFO] 0: 0x000078a2c4a849ed | reader:191 [2026-03-25 12:40:26.326275+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ffi/_ctypes/packed_func.py", line 81, in cfun | _reader:191 [2026-03-25 12:40:26.326359+00:00] {pod.py:982} INFO - [base] logs: [INFO] rv = local_pyfunc(*pyargs) | _reader:191 [2026-03-25 12:40:26.326427+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ir/transform.py", line 229, in _pass_func | _reader:191 [2026-03-25 12:40:26.326527+00:00] {pod.py:982} INFO - [base] logs: [INFO] return inst.transform_module(mod, ctx) | _reader:191 [2026-03-25 12:40:26.326684+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/aisw/converters/relay/passes/pattern_match/tflite_detection_postprocess.py", line 202, in transform_module | _reader:191 [2026-03-25 12:40:26.326712+00:00] {pod.py:982} INFO - [base] logs: [INFO] new_expr = rewrite(MatchAndRewrite(), mod["main"]) | _reader:191 [2026-03-25 12:40:26.326843+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/relay/dataflow_pattern/init.py", line 914, in rewrite | _reader:191 [2026-03-25 12:40:26.326944+00:00] {pod.py:982} INFO - [base] logs: [INFO] return ffi.rewrite(tmp, expr, mod) | reader:191 [2026-03-25 12:40:26.327105+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ffi/_ctypes/packed_func.py", line 237, in call | _reader:191 [2026-03-25 12:40:26.327124+00:00] {pod.py:982} INFO - [base] logs: [INFO] raise get_last_ffi_error() | _reader:191 [2026-03-25 12:40:26.327205+00:00] {pod.py:982} INFO - [base] logs: [INFO] 11: TVMFuncCall | _reader:191 [2026-03-25 12:40:26.327585+00:00] {pod.py:982} INFO - [base] logs: [INFO] 10: _ZN3tvm7runtime13PackedFuncObj | _reader:191 [2026-03-25 12:40:26.327666+00:00] {pod.py:982} INFO - [base] logs: [INFO] 9: tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>(tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule), std::cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*) const | _reader:191 [2026-03-25 12:40:26.327743+00:00] {pod.py:982} INFO - [base] logs: [INFO] 8: tvm::relay::RewritePatterns(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule) | _reader:191 [2026-03-25 12:40:26.327881+00:00] {pod.py:982} INFO - [base] logs: [INFO] 7: tvm::relay:😛atternRewriter::Rewrite(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void> const&, tvm::RelayExpr const&) | _reader:191 [2026-03-25 12:40:26.327956+00:00] {pod.py:982} INFO - [base] logs: [INFO] 6: tvm::relay::InferTypeWithModule(tvm::RelayExpr const&, tvm::IRModule const&) | _reader:191 [2026-03-25 12:40:26.328108+00:00] {pod.py:982} INFO - [base] logs: [INFO] 5: tvm::transform:😛ass::operator()(tvm::IRModule) const | _reader:191 [2026-03-25 12:40:26.328123+00:00] {pod.py:982} INFO - [base] logs: [INFO] 4: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.328291+00:00] {pod.py:982} INFO - [base] logs: [INFO] 3: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.328326+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2: 0x000078a2c6577448 | _reader:191 [2026-03-25 12:40:26.328516+00:00] {pod.py:982} INFO - [base] logs: [INFO] 1: tvm::relay::TypeInferencer::Infer(tvm::GlobalVar, tvm::relay::Function) | _reader:191 [2026-03-25 12:40:26.328539+00:00] {pod.py:982} INFO - [base] logs: [INFO] 0: 0x000078a2c49ee468 | _reader:191 [2026-03-25 12:40:26.328576+00:00] {pod.py:982} INFO - [base] logs: [INFO] 13: TVMFuncCall | _reader:191 [2026-03-25 12:40:26.328695+00:00] {pod.py:982} INFO - [base] logs: [INFO] 12: _ZN3tvm7runtime13PackedFuncObj | _reader:191 [2026-03-25 12:40:26.328840+00:00] {pod.py:982} INFO - [base] logs: [INFO] 11: tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>(tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule), std::cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*) const | _reader:191 [2026-03-25 12:40:26.329023+00:00] {pod.py:982} INFO - [base] logs: [INFO] 10: tvm::relay::RewritePatterns(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule) | _reader:191 [2026-03-25 12:40:26.329183+00:00] {pod.py:982} INFO - [base] logs: [INFO] 9: tvm::relay:😛atternRewriter::Rewrite(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void> const&, tvm::RelayExpr const&) | _reader:191 [2026-03-25 12:40:26.329322+00:00] {pod.py:982} INFO - [base] logs: [INFO] 8: tvm::relay::InferTypeWithModule(tvm::RelayExpr const&, tvm::IRModule const&) | _reader:191 [2026-03-25 12:40:26.329564+00:00] {pod.py:982} INFO - [base] logs: [INFO] 7: tvm::transform:😛ass::operator()(tvm::IRModule) const | _reader:191 [2026-03-25 12:40:26.329624+00:00] {pod.py:982} INFO - [base] logs: [INFO] 6: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.329837+00:00] {pod.py:982} INFO - [base] logs: [INFO] 5: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.329996+00:00] {pod.py:982} INFO - [base] logs: [INFO] 4: 0x000078a2c6577448 | _reader:191 [2026-03-25 12:40:26.330143+00:00] {pod.py:982} INFO - [base] logs: [INFO] 3: tvm::relay::TypeInferencer::Infer(tvm::GlobalVar, tvm::relay::Function) | _reader:191 [2026-03-25 12:40:26.330335+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2: tvm::relay::TypeSolver::Solve() | _reader:191 [2026-03-25 12:40:26.330454+00:00] {pod.py:982} INFO - [base] logs: [INFO] 1: tvm::runtime:😛ackedFuncObj::Extractor<tvm::runtime:😛ackedFuncSubObj<tvm::runtime::TypedPackedFunc<bool (tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&)>::AssignTypedLambda<bool (*)(tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&)>(bool (*)(tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&))::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime:😛ackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) | _reader:191 [2026-03-25 12:40:26.330598+00:00] {pod.py:982} INFO - [base] logs: [INFO] 0: tvm::relay::ReshapeRel(tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&) | _reader:191 [2026-03-25 12:40:26.330773+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/local/mnt/workspace/mlg_user_admin/docker.tmp_standard_pt/build/QAISW/ThirdParty/tvm/src/tvm_fork/src/relay/analysis/type_solver.cc", line 624 | _reader:191 [2026-03-25 12:40:26.330958+00:00] {pod.py:982} INFO - [base] logs: [INFO] TVMError: | _reader:191 [2026-03-25 12:40:26.331085+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.331268+00:00] {pod.py:982} INFO - [base] logs: [INFO] An error occurred during the execution of TVM. | _reader:191 [2026-03-25 12:40:26.331400+00:00] {pod.py:982} INFO - [base] logs: [INFO] For more information, please see: https://tvm.apache.org/docs/errors.html | _reader:191 [2026-03-25 12:40:26.331537+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.331714+00:00] {pod.py:982} INFO - [base] logs: [INFO] Check failed: (false) is false: [12:39:53] /local/mnt/workspace/mlg_user_admin/docker.tmp_standard_pt/build/QAISW/ThirdParty/tvm/src/tvm_fork/src/relay/op/tensor/transform.cc:794: | _reader:191 [2026-03-25 12:40:26.331838+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.332084+00:00] {pod.py:982} INFO - [base] logs: [INFO] An error occurred during the execution of TVM. | _reader:191 [2026-03-25 12:40:26.332298+00:00] {pod.py:982} INFO - [base] logs: [INFO] For more information, please see: https://tvm.apache.org/docs/errors.html | _reader:191 [2026-03-25 12:40:26.332373+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.332583+00:00] {pod.py:982} INFO - [base] logs: [INFO] | _reader:191 [2026-03-25 12:40:26.332678+00:00] {pod.py:982} INFO - [base] logs: [INFO] Check failed: oshape_sum == data_shape_sum (512 vs. 0) : Input tensor shape(1,0,16,2) and reshaped shape(1,512,1) are not compatible! | _reader:191 [2026-03-25 12:40:26.332972+00:00] {pod.py:982} INFO - [base] logs: [INFO] | _reader:191 [2026-03-25 12:40:26.333058+00:00] {pod.py:982} INFO - [base] logs: [INFO] Traceback (most recent call last): | _reader:191 [2026-03-25 12:40:26.333234+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/bin/x86_64-linux-clang/snpe-tflite-to-dlc", line 52, in main | _reader:191 [2026-03-25 12:40:26.333392+00:00] {pod.py:982} INFO - [base] logs: [INFO] converter = TFLiteConverterFrontend(args) | _reader:191 [2026-03-25 12:40:26.333456+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/aisw/converters/tflite/tflite_to_ir.py", line 37, in init | _reader:191 [2026-03-25 12:40:26.333622+00:00] {pod.py:982} INFO - [base] logs: [INFO] super(TFLiteConverterFrontend, self).init(args, | _reader:191 [2026-03-25 12:40:26.333784+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/aisw/converters/relay/relay_to_ir.py", line 323, in init | _reader:191 [2026-03-25 12:40:26.333936+00:00] {pod.py:982} INFO - [base] logs: [INFO] self.importer.convert_to_relay(self.input_model_path, | _reader:191 [2026-03-25 12:40:26.333991+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/aisw/converters/relay/importers/tflite_importer.py", line 122, in convert_to_relay | reader:191 [2026-03-25 12:40:26.334177+00:00] {pod.py:982} INFO - [base] logs: [INFO] self.post_process() | _reader:191 [2026-03-25 12:40:26.334284+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/aisw/converters/relay/importers/tflite_importer.py", line 161, in _post_process | _reader:191 [2026-03-25 12:40:26.334433+00:00] {pod.py:982} INFO - [base] logs: [INFO] self.mod = seq(self.mod) | _reader:191 [2026-03-25 12:40:26.334625+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ir/transform.py", line 160, in call | _reader:191 [2026-03-25 12:40:26.334697+00:00] {pod.py:982} INFO - [base] logs: [INFO] return _ffi_transform_api.RunPass(self, mod) | reader:191 [2026-03-25 12:40:26.334893+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ffi/_ctypes/packed_func.py", line 237, in call | _reader:191 [2026-03-25 12:40:26.335113+00:00] {pod.py:982} INFO - [base] logs: [INFO] raise get_last_ffi_error() | reader:191 [2026-03-25 12:40:26.335151+00:00] {pod.py:982} INFO - [base] logs: [INFO] qti.tvm.ffi.base.TVMError: Traceback (most recent call last): | _reader:191 [2026-03-25 12:40:26.335312+00:00] {pod.py:982} INFO - [base] logs: [INFO] 7: TVMFuncCall | _reader:191 [2026-03-25 12:40:26.335412+00:00] {pod.py:982} INFO - [base] logs: [INFO] 6: 0x000078a2c5011f2f | _reader:191 [2026-03-25 12:40:26.335621+00:00] {pod.py:982} INFO - [base] logs: [INFO] 5: tvm::transform:😛ass::operator()(tvm::IRModule) const | _reader:191 [2026-03-25 12:40:26.335650+00:00] {pod.py:982} INFO - [base] logs: [INFO] 4: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.335835+00:00] {pod.py:982} INFO - [base] logs: [INFO] 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.335852+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.336038+00:00] {pod.py:982} INFO - [base] logs: [INFO] 1: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.336174+00:00] {pod.py:982} INFO - [base] logs: [INFO] 0: 0x000078a2c4a849ed | reader:191 [2026-03-25 12:40:26.336192+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ffi/_ctypes/packed_func.py", line 81, in cfun | _reader:191 [2026-03-25 12:40:26.336257+00:00] {pod.py:982} INFO - [base] logs: [INFO] rv = local_pyfunc(*pyargs) | _reader:191 [2026-03-25 12:40:26.336453+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ir/transform.py", line 229, in _pass_func | _reader:191 [2026-03-25 12:40:26.336471+00:00] {pod.py:982} INFO - [base] logs: [INFO] return inst.transform_module(mod, ctx) | _reader:191 [2026-03-25 12:40:26.336579+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/aisw/converters/relay/passes/pattern_match/tflite_detection_postprocess.py", line 202, in transform_module | _reader:191 [2026-03-25 12:40:26.336646+00:00] {pod.py:982} INFO - [base] logs: [INFO] new_expr = rewrite(MatchAndRewrite(), mod["main"]) | _reader:191 [2026-03-25 12:40:26.336722+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/relay/dataflow_pattern/init.py", line 914, in rewrite | _reader:191 [2026-03-25 12:40:26.336798+00:00] {pod.py:982} INFO - [base] logs: [INFO] return ffi.rewrite(tmp, expr, mod) | reader:191 [2026-03-25 12:40:26.336902+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/opt/snpe/lib/python/qti/tvm/ffi/_ctypes/packed_func.py", line 237, in call | _reader:191 [2026-03-25 12:40:26.337023+00:00] {pod.py:982} INFO - [base] logs: [INFO] raise get_last_ffi_error() | _reader:191 [2026-03-25 12:40:26.337168+00:00] {pod.py:982} INFO - [base] logs: [INFO] 11: TVMFuncCall | _reader:191 [2026-03-25 12:40:26.337189+00:00] {pod.py:982} INFO - [base] logs: [INFO] 10: _ZN3tvm7runtime13PackedFuncObj | _reader:191 [2026-03-25 12:40:26.337268+00:00] {pod.py:982} INFO - [base] logs: [INFO] 9: tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>(tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule), std::cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*) const | _reader:191 [2026-03-25 12:40:26.337332+00:00] {pod.py:982} INFO - [base] logs: [INFO] 8: tvm::relay::RewritePatterns(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule) | _reader:191 [2026-03-25 12:40:26.337452+00:00] {pod.py:982} INFO - [base] logs: [INFO] 7: tvm::relay:😛atternRewriter::Rewrite(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void> const&, tvm::RelayExpr const&) | _reader:191 [2026-03-25 12:40:26.337492+00:00] {pod.py:982} INFO - [base] logs: [INFO] 6: tvm::relay::InferTypeWithModule(tvm::RelayExpr const&, tvm::IRModule const&) | _reader:191 [2026-03-25 12:40:26.337598+00:00] {pod.py:982} INFO - [base] logs: [INFO] 5: tvm::transform:😛ass::operator()(tvm::IRModule) const | _reader:191 [2026-03-25 12:40:26.337646+00:00] {pod.py:982} INFO - [base] logs: [INFO] 4: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.337889+00:00] {pod.py:982} INFO - [base] logs: [INFO] 3: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.337911+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2: 0x000078a2c6577448 | _reader:191 [2026-03-25 12:40:26.337960+00:00] {pod.py:982} INFO - [base] logs: [INFO] 1: tvm::relay::TypeInferencer::Infer(tvm::GlobalVar, tvm::relay::Function) | _reader:191 [2026-03-25 12:40:26.338296+00:00] {pod.py:982} INFO - [base] logs: [INFO] 0: 0x000078a2c49ee468 | _reader:191 [2026-03-25 12:40:26.338317+00:00] {pod.py:982} INFO - [base] logs: [INFO] 13: TVMFuncCall | _reader:191 [2026-03-25 12:40:26.338393+00:00] {pod.py:982} INFO - [base] logs: [INFO] 12: _ZN3tvm7runtime13PackedFuncObj | _reader:191 [2026-03-25 12:40:26.338433+00:00] {pod.py:982} INFO - [base] logs: [INFO] 11: tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule)>(tvm::RelayExpr (*)(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule), std::cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*) const | _reader:191 [2026-03-25 12:40:26.338572+00:00] {pod.py:982} INFO - [base] logs: [INFO] 10: tvm::relay::RewritePatterns(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void>, tvm::RelayExpr, tvm::IRModule) | _reader:191 [2026-03-25 12:40:26.338581+00:00] {pod.py:982} INFO - [base] logs: [INFO] 9: tvm::relay:😛atternRewriter::Rewrite(tvm::runtime::Array<tvm::relay:😃FPatternCallback, void> const&, tvm::RelayExpr const&) | _reader:191 [2026-03-25 12:40:26.338724+00:00] {pod.py:982} INFO - [base] logs: [INFO] 8: tvm::relay::InferTypeWithModule(tvm::RelayExpr const&, tvm::IRModule const&) | _reader:191 [2026-03-25 12:40:26.338746+00:00] {pod.py:982} INFO - [base] logs: [INFO] 7: tvm::transform:😛ass::operator()(tvm::IRModule) const | _reader:191 [2026-03-25 12:40:26.338841+00:00] {pod.py:982} INFO - [base] logs: [INFO] 6: tvm::transform:😛ass::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.338978+00:00] {pod.py:982} INFO - [base] logs: [INFO] 5: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform:😛assContext const&) const | _reader:191 [2026-03-25 12:40:26.339105+00:00] {pod.py:982} INFO - [base] logs: [INFO] 4: 0x000078a2c6577448 | _reader:191 [2026-03-25 12:40:26.339119+00:00] {pod.py:982} INFO - [base] logs: [INFO] 3: tvm::relay::TypeInferencer::Infer(tvm::GlobalVar, tvm::relay::Function) | _reader:191 [2026-03-25 12:40:26.339244+00:00] {pod.py:982} INFO - [base] logs: [INFO] 2: tvm::relay::TypeSolver::Solve() | _reader:191 [2026-03-25 12:40:26.339352+00:00] {pod.py:982} INFO - [base] logs: [INFO] 1: tvm::runtime:😛ackedFuncObj::Extractor<tvm::runtime:😛ackedFuncSubObj<tvm::runtime::TypedPackedFunc<bool (tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&)>::AssignTypedLambda<bool (*)(tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&)>(bool (*)(tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&))::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime:😛ackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) | _reader:191 [2026-03-25 12:40:26.339362+00:00] {pod.py:982} INFO - [base] logs: [INFO] 0: tvm::relay::ReshapeRel(tvm::runtime::Array<tvm::Type, void> const&, int, tvm::Attrs const&, tvm::TypeReporter const&) | _reader:191 [2026-03-25 12:40:26.339600+00:00] {pod.py:982} INFO - [base] logs: [INFO] File "/local/mnt/workspace/mlg_user_admin/docker.tmp_standard_pt/build/QAISW/ThirdParty/tvm/src/tvm_fork/src/relay/analysis/type_solver.cc", line 624 | _reader:191 [2026-03-25 12:40:26.339616+00:00] {pod.py:982} INFO - [base] logs: [INFO] TVMError: | _reader:191 [2026-03-25 12:40:26.339625+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.339730+00:00] {pod.py:982} INFO - [base] logs: [INFO] An error occurred during the execution of TVM. | _reader:191 [2026-03-25 12:40:26.339736+00:00] {pod.py:982} INFO - [base] logs: [INFO] For more information, please see: https://tvm.apache.org/docs/errors.html | _reader:191 [2026-03-25 12:40:26.339828+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.340046+00:00] {pod.py:982} INFO - [base] logs: [INFO] Check failed: (false) is false: [12:39:53] /local/mnt/workspace/mlg_user_admin/docker.tmp_standard_pt/build/QAISW/ThirdParty/tvm/src/tvm_fork/src/relay/op/tensor/transform.cc:794: | _reader:191 [2026-03-25 12:40:26.340188+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.340196+00:00] {pod.py:982} INFO - [base] logs: [INFO] An error occurred during the execution of TVM. | _reader:191 [2026-03-25 12:40:26.340273+00:00] {pod.py:982} INFO - [base] logs: [INFO] For more information, please see: https://tvm.apache.org/docs/errors.html | _reader:191 [2026-03-25 12:40:26.340355+00:00] {pod.py:982} INFO - [base] logs: [INFO] --------------------------------------------------------------- | _reader:191 [2026-03-25 12:40:26.340420+00:00] {pod.py:982} INFO - [base] logs: [INFO] | _reader:191 [2026-03-25 12:40:26.340564+00:00] {pod.py:982} INFO - [base] logs: [INFO] Check failed: oshape_sum == data_shape_sum (512 vs. 0) : Input tensor shape(1,0,16,2) and reshaped shape(1,512,1) are not compatible! | _reader:191 [2026-03-25 12:40:26.340596+00:00] {pod.py:982} INFO - [base] logs: [INFO] | _reader:191 [2026-03-25 12:40:26.340968+00:00] {pod.py:982} INFO - [base] logs: [ERROR] Command `snpe-tflite-to-dlc` finished in 11.73 s with return code 1. | result:268 [2026-03-25 12:40:26.341006+00:00] {pod.py:982} INFO - [base] logs: [ERROR] Encountered an exception in the conversion process! | catch_exceptions:73 [2026-03-25 12:40:26.341012+00:00] {pod.py:982} INFO - [base] logs: Traceback (most recent call last): [2026-03-25 12:40:26.341206+00:00] {pod.py:982} INFO - [base] logs: File "/usr/local/bin/modelconverter", line 6, in <module> [2026-03-25 12:40:26.341227+00:00] {pod.py:982} INFO - [base] logs: sys.exit(app()) [2026-03-25 12:40:26.341232+00:00] {pod.py:982} INFO - [base] logs: │ │ └ App(name=('Modelconverter',), alias=(), version=<function <lambda> at 0x796f8ee70550>, version_flags=('--version',), help_fla... [2026-03-25 12:40:26.341281+00:00] {pod.py:982} INFO - [base] logs: │ └ <built-in function exit> [2026-03-25 12:40:26.341422+00:00] {pod.py:982} INFO - [base] logs: └ <module 'sys' (built-in)> [2026-03-25 12:40:26.341493+00:00] {pod.py:982} INFO - [base] logs: File "/usr/local/lib/python3.10/site-packages/cyclopts/core.py", line 1869, in call [2026-03-25 12:40:26.341505+00:00] {pod.py:982} INFO - [base] logs: result = _run_maybe_async_command(command, bound, resolved_backend) [2026-03-25 12:40:26.341628+00:00] {pod.py:982} INFO - [base] logs: │ │ │ └ 'asyncio' [2026-03-25 12:40:26.341747+00:00] {pod.py:982} INFO - [base] logs: │ │ └ <BoundArguments (target=<Target.RVC4: 'rvc4'>, opts=['input_model', 'gs://mlcloud-services-prod-bucket/019d0106-3f3d-7351-a39... [2026-03-25 12:40:26.341841+00:00] {pod.py:982} INFO - [base] logs: │ └ <function convert at 0x796fcab1e8c0> [2026-03-25 12:40:26.341982+00:00] {pod.py:982} INFO - [base] logs: └ <function run_maybe_async_command at 0x796f8ecdbe20> [2026-03-25 12:40:26.342213+00:00] {pod.py:982} INFO - [base] logs: File "/usr/local/lib/python3.10/site-packages/cyclopts/run.py", line 50, in run_maybe_async_command [2026-03-25 12:40:26.342408+00:00] {pod.py:982} INFO - [base] logs: return command(*bound.args, **bound.kwargs) [2026-03-25 12:40:26.342530+00:00] {pod.py:982} INFO - [base] logs: │ │ │ │ └ <property object at 0x796fcef96d90> [2026-03-25 12:40:26.342724+00:00] {pod.py:982} INFO - [base] logs: │ │ │ └ <BoundArguments (target=<Target.RVC4: 'rvc4'>, opts=['input_model', 'gs://mlcloud-services-prod-bucket/019d0106-3f3d-7351-a39... [2026-03-25 12:40:26.342911+00:00] {pod.py:982} INFO - [base] logs: │ │ └ <property object at 0x796fcef96d40> [2026-03-25 12:40:26.343134+00:00] {pod.py:982} INFO - [base] logs: │ └ <BoundArguments (target=<Target.RVC4: 'rvc4'>, opts=['input_model', 'gs://mlcloud-services-prod-bucket/019d0106-3f3d-7351-a39... [2026-03-25 12:40:26.343231+00:00] {pod.py:982} INFO - [base] logs: └ <function convert at 0x796fcab1e8c0> [2026-03-25 12:40:26.343441+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/main.py", line 128, in convert [2026-03-25 12:40:26.343823+00:00] {pod.py:982} INFO - [base] logs: with catch_exceptions(): [2026-03-25 12:40:26.344163+00:00] {pod.py:982} INFO - [base] logs: └ <function catch_exceptions at 0x796fcab1e5f0> [2026-03-25 12:40:26.344262+00:00] {pod.py:982} INFO - [base] logs: File "/usr/local/lib/python3.10/contextlib.py", line 153, in exit [2026-03-25 12:40:26.344273+00:00] {pod.py:982} INFO - [base] logs: self.gen.throw(typ, value, traceback) [2026-03-25 12:40:26.344498+00:00] {pod.py:982} INFO - [base] logs: │ │ │ │ │ └ <traceback object at 0x796fc7709b80> [2026-03-25 12:40:26.344558+00:00] {pod.py:982} INFO - [base] logs: │ │ │ │ └ SubprocessException('Command `snpe-tflite-to-dlc` finished in 11.73 s with return code 1.') [2026-03-25 12:40:26.344683+00:00] {pod.py:982} INFO - [base] logs: │ │ │ └ <class 'modelconverter.utils.exceptions.SubprocessException'> [2026-03-25 12:40:26.344709+00:00] {pod.py:982} INFO - [base] logs: │ │ └ <method 'throw' of 'generator' objects> [2026-03-25 12:40:26.344849+00:00] {pod.py:982} INFO - [base] logs: │ └ <generator object catch_exceptions at 0x796fcaafdd90> [2026-03-25 12:40:26.344999+00:00] {pod.py:982} INFO - [base] logs: └ <contextlib.GeneratorContextManager object at 0x796fae0d2980> [2026-03-25 12:40:26.345145+00:00] {pod.py:982} INFO - [base] logs: > File "/app/modelconverter/main.py", line 71, in catch_exceptions [2026-03-25 12:40:26.345260+00:00] {pod.py:982} INFO - [base] logs: yield [2026-03-25 12:40:26.345307+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/main.py", line 158, in convert [2026-03-25 12:40:26.345393+00:00] {pod.py:982} INFO - [base] logs: out_models = exporter.run() [2026-03-25 12:40:26.345530+00:00] {pod.py:982} INFO - [base] logs: │ └ <function Exporter.run at 0x796fcab1d6c0> [2026-03-25 12:40:26.345553+00:00] {pod.py:982} INFO - [base] logs: └ <modelconverter.packages.rvc4.exporter.RVC4Exporter object at 0x796fcdcb3a00> [2026-03-25 12:40:26.345653+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/packages/base_exporter.py", line 164, in run [2026-03-25 12:40:26.345785+00:00] {pod.py:982} INFO - [base] logs: output_path = self.export() [2026-03-25 12:40:26.346084+00:00] {pod.py:982} INFO - [base] logs: │ └ <function RVC4Exporter.export at 0x796fc76a32e0> [2026-03-25 12:40:26.346423+00:00] {pod.py:982} INFO - [base] logs: └ <modelconverter.packages.rvc4.exporter.RVC4Exporter object at 0x796fcdcb3a00> [2026-03-25 12:40:26.346505+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/packages/rvc4/exporter.py", line 118, in export [2026-03-25 12:40:26.346791+00:00] {pod.py:982} INFO - [base] logs: dlc_path = self.onnx_to_dlc() [2026-03-25 12:40:26.346809+00:00] {pod.py:982} INFO - [base] logs: │ └ <function RVC4Exporter.onnx_to_dlc at 0x796fc76a3520> [2026-03-25 12:40:26.346826+00:00] {pod.py:982} INFO - [base] logs: └ <modelconverter.packages.rvc4.exporter.RVC4Exporter object at 0x796fcdcb3a00> [2026-03-25 12:40:26.346831+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/packages/rvc4/exporter.py", line 365, in onnx_to_dlc [2026-03-25 12:40:26.347225+00:00] {pod.py:982} INFO - [base] logs: self.subprocess_run([command, *args], meta_name="dlc_convert") [2026-03-25 12:40:26.347272+00:00] {pod.py:982} INFO - [base] logs: │ │ │ └ ['-i', PosixPath('shared_with_container/outputs/PoseDetector_to_rvc4_2026_03_25_12_39_41/intermediate_outputs/PoseDetector.tf... [2026-03-25 12:40:26.347446+00:00] {pod.py:982} INFO - [base] logs: │ │ └ 'snpe-tflite-to-dlc' [2026-03-25 12:40:26.347462+00:00] {pod.py:982} INFO - [base] logs: │ └ <function Exporter.subprocess_run at 0x796fcab1d990> [2026-03-25 12:40:26.347514+00:00] {pod.py:982} INFO - [base] logs: └ <modelconverter.packages.rvc4.exporter.RVC4Exporter object at 0x796fcdcb3a00> [2026-03-25 12:40:26.347583+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/packages/base_exporter.py", line 239, in _subprocess_run [2026-03-25 12:40:26.347662+00:00] {pod.py:982} INFO - [base] logs: result = subprocess_run(args, **kwargs) [2026-03-25 12:40:26.347773+00:00] {pod.py:982} INFO - [base] logs: │ │ └ {} [2026-03-25 12:40:26.347809+00:00] {pod.py:982} INFO - [base] logs: │ └ ['snpe-tflite-to-dlc', '-i', PosixPath('shared_with_container/outputs/PoseDetector_to_rvc4_2026_03_25_12_39_41/intermediate_o... [2026-03-25 12:40:26.347986+00:00] {pod.py:982} INFO - [base] logs: └ <function subprocess_run at 0x796f8e216a70> [2026-03-25 12:40:26.348204+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/utils/subprocess.py", line 301, in subprocess_run [2026-03-25 12:40:26.348222+00:00] {pod.py:982} INFO - [base] logs: return proc.result() [2026-03-25 12:40:26.348246+00:00] {pod.py:982} INFO - [base] logs: │ └ <function SubprocessHandle.result at 0x796f8e217a30> [2026-03-25 12:40:26.348336+00:00] {pod.py:982} INFO - [base] logs: └ <modelconverter.utils.subprocess.SubprocessHandle object at 0x796fc75440d0> [2026-03-25 12:40:26.348461+00:00] {pod.py:982} INFO - [base] logs: File "/app/modelconverter/utils/subprocess.py", line 270, in result [2026-03-25 12:40:26.348499+00:00] {pod.py:982} INFO - [base] logs: raise SubprocessException(info_string) [2026-03-25 12:40:26.348806+00:00] {pod.py:982} INFO - [base] logs: │ └ 'Command `snpe-tflite-to-dlc` finished in 11.73 s with return code 1.' [2026-03-25 12:40:26.348842+00:00] {pod.py:982} INFO - [base] logs: └ <class 'modelconverter.utils.exceptions.SubprocessException'> [2026-03-25 12:40:26.348857+00:00] {pod.py:982} INFO - [base] logs: modelconverter.utils.exceptions.SubprocessException: Command `snpe-tflite-to-dlc` finished in 11.73 s with return code 1. [2026-03-25 12:40:26.549933+00:00] {pod.py:1129} INFO - Skipping deleting pod: model-export-ijodlg27

Remove

KlemenSkrlj

Triompheloro The problem here is that the base model you downloaded is compatible with QAIRT version 2.43 where as our conversion tool is on version 2.32 (you can see this if you open Advanced settings during conversion process). It looks like there is some operation made in this specific tflite which results in this error inside Qualcomm SNPE conversion tool (snpe-tflite-to-dlc):

Check failed: oshape_sum == data_shape_sum (512 vs. 0) :
Input tensor shape(1,0,16,2) and reshaped shape(1,512,1) are not compatible!

We will be migrating to SNPE 2.41 on our stack in the middle of April but this would still be below what these particular models were made for.
For now I would suggest you use the tflite base model that I shared previously (this one) because I was able to confirm that the conversion is able to go through.
Or the other path would be to try with ONNX models (try float ones as well not just w8a8) from the huggingface project you shared and see if those work. But again based on the table in the README they are also exported for higher SNPE versions so likely you'll hit some incompatibility again.

Triompheloro

Actually I tried this model, but it also failed in the conversion. I searched for the model info and I couldn't find (NCHW, scale, mean, encodings, etc..). Where could I find these parameters, please ?

Triompheloro

For both of them if possible, the detection and the landmark detection model. Thanks !

KlemenSkrlj

Triompheloro Unfortunately these values are not nicely layed out anywhere in the MediaPipe repository. Here is what I could find:

Both models should work on RGB inputs (as per graphic here). This means that you want to leave encodings fields as they are (from: RGB, to: BGR). This way the converted model will expect BGR images which is the default in DepthAI.
Pose Detection model cookbook here which specifically sets input range to the model [-1,1] (here). Assuming that original image is [0,255] this would mean that you would have to set:
- mean: 127.5
- scale: 127.5
Pose Landmarker model also has its own cookbook here but in this case [0,1] range is specified (here). This should then mean:
- mean: 0
- scale: 255

As for the NCHW settings: Here you are controling the input shape of the model. But you can just leave them empty and it will automatically detect the original input shape and use that. For Pose detection model this is 224x224 and for Pose Landmarker its 256x256.

Note that all of these values are just me going through the code and availale references that I could find. But I could be wrong since there isn't any clear, official document about this. Best thing to do in this case is that you setup a minimal DepthAI pipeline using dai.node.NeuralNetwork, use the converted model, parse the outputs and visualize them. This way you can visually see if the results are correct or not.

Best,
Klemen

Triompheloro

Thanks Klemen, it works!