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aminzabardast avatar aminzabardast commented on August 22, 2024

Solving compile problem with help of this post

For Future Reference:
This is how the makefile.sh was:

# Makefile

TF_INC = `python -c "import tensorflow; print(tensorflow.sysconfig.get_include())"`
TF_LIB = `python -c "import tensorflow; print(tensorflow.sysconfig.get_lib())"`

ifndef CUDA_HOME
    CUDA_HOME := /usr/local/cuda
endif
CUDA_HOME := /usr/local/cuda-9.0

CC        = gcc -O2 -pthread
CXX       = g++
GPUCC     = nvcc --expt-relaxed-constexpr
CFLAGS    = -std=c++11 -I$(TF_INC) -I"$(CUDA_HOME)/.." -DGOOGLE_CUDA=1
GPUCFLAGS = -c
LFLAGS    = -pthread -shared -fPIC
GPULFLAGS = -x cu -Xcompiler -fPIC
CGPUFLAGS = -L$(CUDA_HOME)/lib -L$(CUDA_HOME)/lib64 -lcudart -L$(TF_LIB) -ltensorflow_framework

OUT_DIR   = src/ops/build
PREPROCESSING_SRC = "src/ops/preprocessing/preprocessing.cc" "src/ops/preprocessing/kernels/flow_augmentation.cc" "src/ops/preprocessing/kernels/augmentation_base.cc" "src/ops/preprocessing/kernels/data_augmentation.cc"
GPU_SRC_DATA_AUG  	= src/ops/preprocessing/kernels/data_augmentation.cu.cc
GPU_SRC_FLOW     	= src/ops/preprocessing/kernels/flow_augmentation_gpu.cu.cc
GPU_PROD_DATA_AUG 	= $(OUT_DIR)/data_augmentation.o
GPU_PROD_FLOW    	= $(OUT_DIR)/flow_augmentation_gpu.o
PREPROCESSING_PROD	= $(OUT_DIR)/preprocessing.so

DOWNSAMPLE_SRC = "src/ops/downsample/downsample_kernel.cc" "src/ops/downsample/downsample_op.cc"
GPU_SRC_DOWNSAMPLE  = src/ops/downsample/downsample_kernel_gpu.cu.cc
GPU_PROD_DOWNSAMPLE = $(OUT_DIR)/downsample_kernel_gpu.o
DOWNSAMPLE_PROD 	= $(OUT_DIR)/downsample.so

CORRELATION_SRC = "src/ops/correlation/correlation_kernel.cc" "src/ops/correlation/correlation_grad_kernel.cc" "src/ops/correlation/correlation_op.cc"
GPU_SRC_CORRELATION  = src/ops/correlation/correlation_kernel.cu.cc
GPU_SRC_CORRELATION_GRAD  = src/ops/correlation/correlation_grad_kernel.cu.cc
GPU_SRC_PAD = src/ops/correlation/pad.cu.cc
GPU_PROD_CORRELATION = $(OUT_DIR)/correlation_kernel_gpu.o
GPU_PROD_CORRELATION_GRAD = $(OUT_DIR)/correlation_grad_kernel_gpu.o
GPU_PROD_PAD = $(OUT_DIR)/correlation_pad_gpu.o
CORRELATION_PROD 	= $(OUT_DIR)/correlation.so

FLOWWARP_SRC = "src/ops/flow_warp/flow_warp_op.cc" "src/ops/flow_warp/flow_warp.cc" "src/ops/flow_warp/flow_warp_grad.cc"
GPU_SRC_FLOWWARP = "src/ops/flow_warp/flow_warp.cu.cc"
GPU_SRC_FLOWWARP_GRAD = "src/ops/flow_warp/flow_warp_grad.cu.cc"
GPU_PROD_FLOWWARP = "$(OUT_DIR)/flow_warp_gpu.o"
GPU_PROD_FLOWWARP_GRAD = "$(OUT_DIR)/flow_warp_grad_gpu.o"
FLOWWARP_PROD = "$(OUT_DIR)/flow_warp.so"

ifeq ($(OS),Windows_NT)
    detected_OS := Windows
else
    detected_OS := $(shell sh -c 'uname -s 2>/dev/null || echo not')
endif
ifeq ($(detected_OS),Darwin)  # Mac OS X
	CGPUFLAGS += -undefined dynamic_lookup
endif
ifeq ($(detected_OS),Linux)
	CFLAGS += -D_MWAITXINTRIN_H_INCLUDED -D_FORCE_INLINES -D__STRICT_ANSI__ -D_GLIBCXX_USE_CXX11_ABI=0
endif

all: correlation flowwarp

#preprocessing:
#	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_DATA_AUG) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_DATA_AUG)
#	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_FLOW) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_FLOW)
#	$(CXX) -g $(CFLAGS)  $(PREPROCESSING_SRC) $(GPU_PROD_DATA_AUG) $(GPU_PROD_FLOW) $(LFLAGS) $(CGPUFLAGS) -o $(PREPROCESSING_PROD)

#downsample:
#	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_DOWNSAMPLE) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_DOWNSAMPLE)
#	$(CXX) -g $(CFLAGS)  $(DOWNSAMPLE_SRC) $(GPU_PROD_DOWNSAMPLE) $(LFLAGS) $(CGPUFLAGS) -o $(DOWNSAMPLE_PROD)

correlation:
	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_CORRELATION) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_CORRELATION)
	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_CORRELATION_GRAD) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_CORRELATION_GRAD)
	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_PAD) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_PAD)
	$(CXX) -g $(CFLAGS)  $(CORRELATION_SRC) $(GPU_PROD_CORRELATION) $(GPU_PROD_CORRELATION_GRAD) $(GPU_PROD_PAD) $(LFLAGS) $(CGPUFLAGS) -o $(CORRELATION_PROD)

flowwarp:
	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_FLOWWARP) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_FLOWWARP)
	$(GPUCC) -g $(CFLAGS) $(GPUCFLAGS) $(GPU_SRC_FLOWWARP_GRAD) $(GPULFLAGS) $(GPUDEF) -o $(GPU_PROD_FLOWWARP_GRAD)
	$(CXX) -g $(CFLAGS)  $(FLOWWARP_SRC) $(GPU_PROD_FLOWWARP) $(GPU_PROD_FLOWWARP_GRAD) $(LFLAGS) $(CGPUFLAGS) -o $(FLOWWARP_PROD)

clean:
	rm -f $(PREPROCESSING_PROD) $(GPU_PROD_FLOW) $(GPU_PROD_DATA_AUG) $(DOWNSAMPLE_PROD) $(GPU_PROD_DOWNSAMPLE)

from mastersthesis.

aminzabardast avatar aminzabardast commented on August 22, 2024

There is a problem using Keras that it freezes on the validation process.
A solution was devised using this post.

from mastersthesis.

aminzabardast avatar aminzabardast commented on August 22, 2024

Warp function showed issues for training. Turns out the Warp function warps right image using flow but not disparity.
The disparity can be a special form of flow, one which only has one channel. The flow seems to have to channels.

By modifying the output from (?, 512, 512, 1) to (?, 512, 512, 2) the network seems to start to train properly.

from mastersthesis.

aminzabardast avatar aminzabardast commented on August 22, 2024

Correction should be done on DisparityNet_SD.
This network is similar to S type but I created it to be like C type.

from mastersthesis.

aminzabardast avatar aminzabardast commented on August 22, 2024

brightness_error and up/down sampling should be added to current structures.
A closer imitation of FlowNet is needed.

from mastersthesis.

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