added TinyYolo

caffe/TinyYolo/Makefile

@@ -0,0 +1,126 @@
+
+ifneq ($(findstring movidius, $(PYTHONPATH)), movidius)
+	export PYTHONPATH:=/opt/movidius/caffe/python:/opt/movidius/mvnc/python:$(PYTHONPATH)
+endif
+
+NCCOMPILE = mvNCCompile
+NCPROFILE = mvNCProfile
+NCCHECK   = mvNCCheck
+
+GRAPH_FILENAME = yolo_tiny.graph
+GET_GRAPH = wget --no-cache -P . http://ncs-forum-uploads.s3.amazonaws.com/ncappzoo/tiny_yolo/${GRAPH_FILENAME}
+
+PROTOTXT_FILENAME= tiny-yolo-v1.prototxt
+GET_PROTOTXT = wget --no-cache -P . http://ncs-forum-uploads.s3.amazonaws.com/ncappzoo/tiny_yolo/${PROTOTXT_FILENAME}
+
+CAFFEMODEL_FILENAME = tiny-yolo-v1_53000.caffemodel
+GET_CAFFEMODEL = wget --no-cache -P . -N http://ncs-forum-uploads.s3.amazonaws.com/ncappzoo/tiny_yolo/${CAFFEMODEL_FILENAME}
+
+
+.PHONY: all
+all: profile compile 
+
+.PHONY: prototxt
+prototxt: 
+	@echo "\nmaking prototxt"
+	@if [ -e ${PROTOTXT_FILENAME} ] ; \
+	then \
+		echo "Prototxt file already exists"; \
+	else \
+		echo "Downloading Prototxt file"; \
+		${GET_PROTOTXT}; \
+		if [ -e ${PROTOTXT_FILENAME} ] ; \
+		then \
+			echo "got prototext file." ; \
+		else \
+			echo "***\nError - Could not download prototxt file. Check network and proxy settings \n***\n"; \
+			exit 1; \
+		fi ; \
+	fi 
+
+.PHONY: caffemodel
+caffemodel: 
+	@echo "\nmaking caffemodel"
+	@if [ -e ${CAFFEMODEL_FILENAME} ] ; \
+	then \
+		echo "caffemodel file already exists"; \
+	else \
+		echo "Downloading caffemodel file"; \
+		${GET_CAFFEMODEL}; \
+		if ! [ -e ${CAFFEMODEL_FILENAME} ] ; \
+		then \
+			echo "***\nError - Could not download caffemodel file. Check network and proxy settings \n***\n"; \
+			exit 1; \
+		fi ; \
+	fi  
+
+.PHONY: profile
+profile: prototxt
+	@echo "\nmaking profile"
+	${NCPROFILE} ${PROTOTXT_FILENAME} -s 12
+
+.PHONY: browse_profile
+browse_profile: profile
+	@echo "\nmaking browse_profile"
+	@if [ -e output_report.html ] ; \
+	then \
+		firefox output_report.html & \
+	else \
+		@echo "***\nError - output_report.html not found" ; \
+	fi ; 
+
+.PHONY: compile
+compile: prototxt caffemodel
+	@echo "\nmaking compile"
+	${NCCOMPILE} -o ${GRAPH_FILENAME} -w ${CAFFEMODEL_FILENAME} -s 12 ${PROTOTXT_FILENAME}
+
+.PHONY: graph
+graph: 
+	@echo "\nmaking (downloading) graph"
+	@if [ -e ${GRAPH_FILENAME} ] ; \
+	then \
+		echo "graph file already exists"; \
+	else \
+		${GET_GRAPH}; \
+		if ! [ -e ${GRAPH_FILENAME} ] ; \
+		then \
+			echo "***\nError - Could not download graph file. Check network and proxy settings \n***\n"; \
+			exit 1; \
+		fi ; \
+	fi ;
+
+.PHONY: run_py
+run_py: compile
+	@echo "\nmaking run_py"
+	python3 ./run.py
+
+.PHONY: help
+help:
+	@echo "possible make targets: ";
+	@echo "  make help - shows this message";
+	@echo "  make all - makes the following: prototxt, profile, compile, check, cpp, run_py, run_cpp";
+	@echo "  make prototxt - downloads and adds input shape to Caffe prototxt file";
+	@echo "  make caffemodel - downloads the caffemodel for the network"
+	@echo "  make compile - runs SDK compiler tool to compile the NCS graph file for the network";
+	@echo "  make profile - runs the SDK profiler tool to profile the network creating output_report.html";
+	@echo "  make browse_profile - runs the SDK profiler tool and brings up report in browser.";
+	@echo "  make run_py - runs the run.py python example program";
+	@echo "  make clean - removes all created content"
+
+clean_caffe_model:
+	@echo "\nmaking clean_caffe_model"
+	rm -f ${PROTOTXT_FILENAME}
+	rm -f ${CAFFEMODEL_FILENAME}
+
+clean: clean_caffe_model
+	@echo "\nmaking clean"
+	rm -f ${GRAPH_FILENAME}
+	rm -f graph
+	rm -f output.gv
+	rm -f output.gv.svg
+	rm -f output_report.html
+	rm -f output_expected.npy
+	rm -f zero_weights.caffemodel
+	rm -f output_result.npy
+	rm -f output_val.csv
+

caffe/TinyYolo/README.md

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+# Introduction
+The TinyYolo network can be used for object recognition and classification.  See [https://pjreddie.com/darknet/yolov1/](https://pjreddie.com/darknet/yolov1/) for more information on this network. 
+The provided Makefile does the following
+1. Downloads the Caffe prototxt file 
+3. Downloads the .caffemodel file which was trained.
+3. Profiles and Compiles the network using the Neural Compute SDK.
+4. Runs the provided run.py program that does a single inference on a provided image as an example on how to use the network using the Neural Compute API
+
+# Makefile
+Provided Makefile has various targets that help with the above mentioned tasks.
+
+## make help
+Shows available targets
+
+## make all
+Runs profile, compile.
+
+## make profile
+Runs the provided network on the NCS and generates per layer statistics that are helpful for understanding the performance of the network on the Neural Compute Stick.
+
+## make compile
+Uses the network description and the trained weights files to generate a Movidius internal 'graph' format file.  This file is later used for loading the network on to the Neural Compute Stick and executing the network.
+
+## make run_py
+Runs the provided run.py python program which sends a single image to the Neural Compute Stick and receives and displays the inference results along with a GUI window showing the identified objects in the image.
+
+## make clean
+Removes all the temporary files that are created by the Makefile