Comments (6)
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TARGET=ZCU104
NET_NAME=yolov3_416_voc_tf
DEPLOY_MODEL_PATH=vai_q_output
ARCH=/opt/vitis_ai/compiler/arch/dpuv2/${TARGET}/${TARGET}.json
vai_c_tensorflow --frozen_pb tf_yolov3_voc_416_416_65.63G/quantized/deploy_model.pb --arch ${ARCH} --output_dir vai_c_output_${TARGET} --net_name ${NET_NAME}
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TARGET=ZCU104
NET_NAME=yolov3_416_voc_caffe_xilinx
DEPLOY_MODEL_PATH=vai_compile_output
ARCH=/opt/vitis_ai/compiler/arch/dpuv2/${TARGET}/${TARGET}.json
vai_c_caffe --prototxt dk_yolov3_voc_416_416_65.42G/quantized/deploy.prototxt
--caffemodel dk_yolov3_voc_416_416_65.42G/quantized/deploy.caffemodel
--arch ${ARCH}
--output_dir vai_c_output_${TARGET}/
--net_name ${NET_NAME}
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from vitis-ai.
WARNING: Logging before InitGoogleLogging() is written to STDERR
F1230 17:57:09.814858 3132 elf2xir.hpp:316] Check failed: !debug_mode debug mode not supported yet.
*** Check failure stack trace: ***
from vitis-ai.
TARGET=ZCU104
NET_NAME=yolov3_416_coco_caffe
DEPLOY_MODEL_PATH=vai_compile_output
ARCH=/opt/vitis_ai/compiler/arch/dpuv2/${TARGET}/${TARGET}.json
vai_c_caffe --prototxt quantize_results_coco/deploy.prototxt
--caffemodel quantize_results_coco/deploy.caffemodel
--arch ${ARCH}
--output_dir vai_c_output_${TARGET}/
--net_name ${NET_NAME}
--options "{'mode':'normal', 'dump':'all','cpu_arch':'arm64', 'dcf':'/opt/vitis_ai/compiler/arch/dpuv2/ZCU104/ZCU104.dcf',
'save_kernel':''}"
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Related Issues (20)
- PetaLinux boot stuck after chang the device tree of dpu HOT 1
- Problems with building a libadf.a file in the VAI 3.5 VEK280 Reference Design Project
- Error During Model Inspection with Vitis Inspector Tool
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- [vitis-ai 3.5]cannot complie xmode
- About vitis ai and DPU running two xmodels HOT 1
- error:Check failed: r == 0 (-1 vs. 0) , cannot allocate memory HOT 2
- Example running failed in KR260
- It probaly not safe to assume all yolov6 models have an input size of 640*640
- YoloV7 and YoloV8 model implementation
- About how the ONNX model is quantified?
- error cu[0] timeout
- dpuczdx8g v4.1 compatibility consultation HOT 7
- Resource Management and Concurrent Model Execution with Vitis AI on KR260 Board
- Multi-input network model, quantization error occurred
- In the UG1414, the operators supported by PyTorch are not available in the process of training and quantification
- AssertionError
- TypeError: list indices must be integers or slices, not NoneType HOT 1
- AddScalar() does not work for quantization
- Use sigmoid or pow to replace exp
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