b065d72194
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You Only Look Once (YOLO) is a state-of-the-art, real-time object detection system Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
91 lines
2.8 KiB
Makefile
91 lines
2.8 KiB
Makefile
############################################################################
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# apps/mlearning/darknet/Makefile
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership. The
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# ASF licenses this file to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance with the
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# License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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############################################################################
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include $(APPDIR)/Make.defs
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ifeq ($(CONFIG_DARKNET_YOLO),y)
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SRC = darknet/src
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CSRCS +=$(SRC)/gemm.c
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CSRCS +=$(SRC)/utils.c
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CSRCS +=$(SRC)/cuda.c
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CSRCS +=$(SRC)/deconvolutional_layer.c
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CSRCS +=$(SRC)/convolutional_layer.c
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CSRCS +=$(SRC)/list.c
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CSRCS +=$(SRC)/image.c
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CSRCS +=$(SRC)/activations.c
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CSRCS +=$(SRC)/im2col.c
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CSRCS +=$(SRC)/col2im.c
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CSRCS +=$(SRC)/blas.c
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CSRCS +=$(SRC)/crop_layer.c
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CSRCS +=$(SRC)/dropout_layer.c
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CSRCS +=$(SRC)/maxpool_layer.c
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CSRCS +=$(SRC)/softmax_layer.c
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CSRCS +=$(SRC)/data.c
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CSRCS +=$(SRC)/matrix.c
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CSRCS +=$(SRC)/network.c
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CSRCS +=$(SRC)/connected_layer.c
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CSRCS +=$(SRC)/cost_layer.c
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CSRCS +=$(SRC)/parser.c
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CSRCS +=$(SRC)/option_list.c
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CSRCS +=$(SRC)/detection_layer.c
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CSRCS +=$(SRC)/route_layer.c
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CSRCS +=$(SRC)/upsample_layer.c
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CSRCS +=$(SRC)/box.c
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CSRCS +=$(SRC)/normalization_layer.c
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CSRCS +=$(SRC)/avgpool_layer.c
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CSRCS +=$(SRC)/layer.c
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CSRCS +=$(SRC)/local_layer.c
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CSRCS +=$(SRC)/shortcut_layer.c
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CSRCS +=$(SRC)/logistic_layer.c
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CSRCS +=$(SRC)/activation_layer.c
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CSRCS +=$(SRC)/rnn_layer.c
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CSRCS +=$(SRC)/gru_layer.c
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CSRCS +=$(SRC)/crnn_layer.c
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CSRCS +=$(SRC)/demo.c
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CSRCS +=$(SRC)/batchnorm_layer.c
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CSRCS +=$(SRC)/region_layer.c
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CSRCS +=$(SRC)/reorg_layer.c
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CSRCS +=$(SRC)/tree.c
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CSRCS +=$(SRC)/lstm_layer.c
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CSRCS +=$(SRC)/l2norm_layer.c
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CSRCS +=$(SRC)/yolo_layer.c
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CSRCS +=$(SRC)/iseg_layer.c
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CFLAGS += -Wno-shadow -Wno-strict-prototypes -Wno-unknown-pragmas
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MODULE = $(CONFIG_DARKNET_YOLO)
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darknet.zip:
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$(Q) curl -L https://github.com/pjreddie/darknet/archive/refs/heads/$(DARKNET_YOLO_VER).zip -o darknet.zip
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$(Q) unzip -o darknet.zip
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$(Q) mv darknet-$(DARKNET_YOLO_VER) darknet
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context:: darknet.zip
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distclean::
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$(call DELDIR, darknet)
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$(call DELFILE, darknet.zip)
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endif
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include $(APPDIR)/Application.mk
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