diff --git a/Bitstreams/Release.bit b/Bitstreams/Release.bit new file mode 100644 index 0000000..c40d27c Binary files /dev/null and b/Bitstreams/Release.bit differ diff --git a/Docs/ScreenShots/50ColorsTest.png b/Docs/ScreenShots/50ColorsTest.png new file mode 100644 index 0000000..46c9655 Binary files /dev/null and b/Docs/ScreenShots/50ColorsTest.png differ diff --git a/Docs/ScreenShots/R.png b/Docs/ScreenShots/R.png new file mode 100644 index 0000000..2cef202 Binary files /dev/null and b/Docs/ScreenShots/R.png differ diff --git a/Docs/ScreenShots/RandomMap.png b/Docs/ScreenShots/RandomMap.png new file mode 100644 index 0000000..219b2ad Binary files /dev/null and b/Docs/ScreenShots/RandomMap.png differ diff --git a/Docs/ScreenShots/TenColorsTest.png b/Docs/ScreenShots/TenColorsTest.png new file mode 100644 index 0000000..1f37269 Binary files /dev/null and b/Docs/ScreenShots/TenColorsTest.png differ diff --git a/Docs/ScreenShots/ThreeColorsTest.png b/Docs/ScreenShots/ThreeColorsTest.png new file mode 100644 index 0000000..e581b74 Binary files /dev/null and b/Docs/ScreenShots/ThreeColorsTest.png differ diff --git a/README.md b/README.md index 029af10..df6f479 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,47 @@ -# SOMvhdl - SOM implementation on FPGA using VHDL + +![](https://img.shields.io/github/stars/tuhalf/SOMvhdl.svg) ![](https://img.shields.io/github/forks/tuhalf/SOMvhdl.md.svg)![](https://img.shields.io/github/release/tuhalf/SOMvhdl.md.svg) ![](https://img.shields.io/github/issues/tuhalf/SOMvhdl.md.svg) +# SOMVhdl - Self Organizing Map Implementation On FPGA + +A simple and scaleable Self Organizing Map implementation written in VHDL. Tested on ARTYA7-35T board. + +##Tests +#### Test with 10 color inputs +![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/TenColorsTest.png) +#### Test with 50 color inputs +![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/50ColorsTest.png) + +##Features +- Any number of data entries via serial interface. (Limit is set to 254 but can be changed) +- Results output via serial interface. +- Flexible iteration and specification counts and map sizes. +- Non-repetitive psudo random map generation with Attiny85 extention. +- Test button to get output before training. + +##How To Use +#### Installation +You can use Pre-Generated Bitstreams, which are avalible in releases or can generate from source. +##### ! To generate random map to start, you have to connect a 6 bit random bit generator to JA pins. You can use an Attiny85 or an Arduino for this. The necesary codes are in /Tools/RandomInit_attiny85 folder. +To make sure random map generation works fine, uncomment the commented lines on getMap.py and press BTN1 while running the code. Random output looks something like that: +![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/RandomMap.png) + +#### Training +To train inputs from CSV files, you can use the Python code in /Tools/getMap.py It reads the output from Train.csv and writes outputs to map.csv. +#### Visualization +For visualization, I used the idea from [Isidroc SOMcpp Project][1] Using his R script, you can easily visualize the generated map. You can find the script in /Tools/PlotColorMartix.R +![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/R.png) + +##Implementation Summary +#### Timing + +WNS | WHS +------------- | ------------- +0,21 | 0,04 +#### Place Design +| LUT | FF | BRAM | DSP | I/O | BUFG | +| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | +| 19,36 | 18,14 | 34,00 | 6,67 | 8,57 | 3,13 | +## To do +- Divide map into smaller parts to do parallel processing. + +###End +[1]: https://github.com/isidroc/SOMcpp "Isidroc's SOMcpp project" \ No newline at end of file diff --git a/Reports/PlaceDesign.xlsx b/Reports/PlaceDesign.xlsx new file mode 100644 index 0000000..df8eef4 Binary files /dev/null and b/Reports/PlaceDesign.xlsx differ diff --git a/Reports/Timing.xlsx b/Reports/Timing.xlsx new file mode 100644 index 0000000..bd6dcad Binary files /dev/null and b/Reports/Timing.xlsx differ diff --git a/SOMvhdl.srcs/sources_1/new/kmap.vhd b/SOMvhdl.srcs/sources_1/new/kmap.vhd index 18a9458..64cdd2c 100644 --- a/SOMvhdl.srcs/sources_1/new/kmap.vhd +++ b/SOMvhdl.srcs/sources_1/new/kmap.vhd @@ -65,11 +65,6 @@ entity kmap is end kmap; architecture Behavioral of kmap is - --type Specs is array(specCount-1 downto 0) of std_logic_vector (7 DOWNTO 0); - --type KMapT is array(0 to (MapHeight*MapHeight)) of STD_LOGIC_VECTOR((7*specCount)+(specCount-1) downto 0); --(n_bits(MapHeight-1)*2)-1 - --signal KMap : KMapT; - --attribute ram_style: string; - --attribute ram_style of KMap : signal is "block"; signal outputT: STD_LOGIC_VECTOR((7*specCount)+(specCount-1) downto 0); signal readyDRV: STD_LOGIC; signal bmuReadyDRV: STD_LOGIC; @@ -78,7 +73,6 @@ architecture Behavioral of kmap is signal bestOfCores: bestVariables; constant cycleCount: natural := ((MapHeight*MapHeight)/coresCount); signal coresDone: std_logic; - --constant j: integer := 0; signal init: STD_LOGIC; type toStates is (readyy,set,sure,go); @@ -204,9 +198,6 @@ ValueCur <= outputT; ----------Init-------------- InitP: process(clk) ---variable x,y:std_logic_vector(n_bits(MapHeight-1)-1 downto 0); ---variable comb: std_logic_vector((n_bits(MapHeight-1)*2)-1 downto 0); ---variable bestX,bestY,bestDist: natural; variable comb: natural; variable inpTemp: STD_LOGIC_VECTOR((7*specCount)+(specCount-1) downto 0); variable kmapTemp: std_logic_vector(17 downto 0); @@ -221,7 +212,6 @@ begin bmuReadyDRV<='0'; readyDRV<='0'; - --kmap<= (others=>(others=>(others=>(others=>'0')))); xCP<= 0; yCP<= 0; init <= '1'; @@ -289,10 +279,7 @@ begin if init = '1' and RandReady = '1' then if not(yCP = MapHeight-1) then - --set - --x:= std_logic_vector(to_unsigned(xCP,n_bits(MapHeight-1))); - --y:= std_logic_vector(to_unsigned(yCP,n_bits(MapHeight-1))); - --comb:= x&y; + --set comb:= (xCP*MapHeight)+(yCP); wea(0) <= '1'; addra<= std_logic_vector(to_unsigned(comb,14)); @@ -301,9 +288,7 @@ begin yCP <= yCP + 1; elsif ycp = MapHeight-1 and not(xCP = MapHeight-1) then --set - --x:= std_logic_vector(to_unsigned(xCP,n_bits(MapHeight-1))); - --y:= std_logic_vector(to_unsigned(yCP,n_bits(MapHeight-1))); - --comb:= x&y; + comb:= (xCP*MapHeight)+(yCP); wea(0) <= '1'; addra<= std_logic_vector(to_unsigned(comb,14)); @@ -313,9 +298,7 @@ begin yCP <= 0; elsif ycp = MapHeight-1 and xCP = MapHeight-1 then --sth - --x:= std_logic_vector(to_unsigned(xCP,n_bits(MapHeight-1))); - --y:= std_logic_vector(to_unsigned(yCP,n_bits(MapHeight-1))); - --comb:= x&y; + comb:= (xCP*MapHeight)+(yCP); wea(0) <= '1'; addra<= std_logic_vector(to_unsigned(comb,14)); @@ -441,9 +424,6 @@ begin elsif getOut ='1' and outReadyDRV = '0' then trainDoneM <= '0'; wea(0) <= '0'; - --x:= std_logic_vector(to_unsigned(XPos_O,n_bits(MapHeight-1))); - --y:= std_logic_vector(to_unsigned(YPos_O,n_bits(MapHeight-1))); - --comb:= x&y; case readTO is when readyy => outReadyDRV<= '0'; @@ -557,129 +537,4 @@ ready<=readyDRV; outReady <= outReadyDRV; bmuReady<=bmuReadyDRV; ----------Train--------- ---trainP: process(clk) --- variable kmapTemp: std_logic_vector(17 downto 0); --- variable kmapT: STD_LOGIC_VECTOR((7*specCount)+(specCount-1) downto 0); --- variable kmapP: STD_LOGIC_VECTOR((7*specCount)+(specCount-1) downto 0); --- variable x,y:std_logic_vector(n_bits(MapHeight-1)-1 downto 0); --- variable comb: std_logic_vector((n_bits(MapHeight-1)*2)-1 downto 0); ---begin --- if rising_edge(clk) then --- if train = '1' and init = '0' and FindBMU ='0'then --- kmapP:= KMap(to_integer(unsigned(comb))); --- for k in 0 to specCount-1 loop --- x:= std_logic_vector(to_unsigned(XPos,n_bits(MapHeight-1))); --- y:= std_logic_vector(to_unsigned(YPos,n_bits(MapHeight-1))); --- comb:= x&y; --- kmapTemp:= std_logic_vector(unsigned(kmapP ((7+(k*8)) downto (0+(k*8)))) + ((LNRate*(unsigned(input((7+(k*8)) downto (0+(k*8)))) - unsigned(kmapP((7+(k*8)) downto (0+(k*8))))))/to_unsigned(rateSensetivity,n_bits(rateSensetivity)))); --- kmapT((7+(k*8)) downto (0+(k*8))) := kmapTemp(17 downto 10); --- end loop; --- kmap(to_integer(unsigned(comb))) <= kmapT; --- end if; --- end if; ---end process trainP; - -------- BMU ------------ ---bmuF: process(clk, rst) --- variable bx,by: natural; --- variable distance,best_distance: natural; --- variable inputIn: STD_LOGIC_VECTOR((7*specCount)+(specCount-1) downto 0); --- ---begin --- if rst = '1' then --- --- elsif rising_edge(clk) then --- if FindBMU ='1' then --- best_distance := specCount * 255; --- bx := 0; --- by := 0; --- inputIn:= input; --- for cx in 0 to MapHeight-1 loop --- for cy in 0 to MapHeight-1 loop --- distance:= 0; --- for cs in 0 to specCount-1 loop --- distance := distance + abs(to_integer(unsigned(inputIn((7+(cs*8)) downto (0+(cs*8))))) - to_integer(unsigned(KMap(cx,cy) (cs)))); --- end loop; --- if distance 0); --- coresDone(j)<='0'; --- elsif rising_edge(clk) then --- if bmuReadyDRV = '1' then --- coresDone(j)<= '0'; --- bestOfCores(j)<= (others => 0); --- elsif FindBMU ='1' and train='0' and init = '0' then --- if bestOfCores(j)(3) + + + diff --git a/Tools/32 2f 99 97 cc cb 66 65 b3 32 59 99 ac c.txt b/Tools/32 2f 99 97 cc cb 66 65 b3 32 59 99 ac c.txt deleted file mode 100644 index e116d04..0000000 --- a/Tools/32 2f 99 97 cc cb 66 65 b3 32 59 99 ac c.txt +++ /dev/null @@ -1,1334 +0,0 @@ -32 2f 99 97 cc cb 66 65 b3 32 59 99 ac cc 56 -66 2b b3 15 59 8a ac c5 56 62 2b 31 15 18 8a -0c c5 06 62 83 31 c1 18 e0 0c 70 06 b8 83 5c -c1 ae e0 57 70 ab b8 55 5c aa ae d5 57 ea ab -f5 55 fa aa 7d d5 3e ea 9f f5 4f fa a7 7d 53 -3e 29 9f 14 4f 0a a7 85 53 42 29 21 14 90 0a -c8 85 e4 42 f2 21 f9 90 fc c8 fe e4 ff f2 7f -f9 3f fc 1f fe 0f ff 87 7f 43 3f a1 1f d0 0f -e8 87 f4 43 7a a1 3d d0 1e e8 8f f4 c7 7a 63 -3d b1 1e 58 8f 2c c7 16 63 0b b1 05 58 02 2c -01 16 80 0b 40 05 20 02 10 01 88 80 c4 40 e2 -20 71 10 38 88 1c c4 8e e2 47 71 23 38 91 1c -48 8e a4 47 d2 23 e9 91 74 48 3a a4 1d d2 0e -e9 07 74 03 3a 81 1d c0 0e 60 07 30 03 98 81 -4c c0 26 60 93 30 49 98 24 4c 92 26 c9 93 64 -49 b2 24 d9 92 ec c9 76 64 3b b2 9d d9 4e ec -27 76 13 3b 09 9d 04 4e 82 27 41 13 a0 09 50 -04 a8 82 d4 41 6a a0 b5 50 da a8 6d d4 b6 6a -5b b5 ad da d6 6d 6b b6 35 5b 9a ad 4d d6 a6 -6b d3 35 69 9a 34 4d 1a a6 0d d3 86 69 c3 34 -e1 1a f0 0d f8 86 7c c3 be e1 df f0 6f f8 b7 -7c db be ed df f6 6f 7b b7 bd db 5e ed af f6 -d7 7b eb bd 75 5e ba af 5d d7 2e eb 17 75 8b -ba 45 5d 22 2e 11 17 08 8b 84 45 c2 22 61 11 -b0 08 d8 84 6c c2 36 61 1b b0 8d d8 c6 6c e3 -36 f1 1b 78 8d 3c c6 9e e3 cf f1 e7 78 73 3c -39 9e 9c cf ce e7 67 73 33 39 19 9c 8c ce 46 -67 a3 33 d1 19 68 8c b4 46 5a a3 2d d1 96 68 -4b b4 25 5a 12 2d 89 96 44 4b a2 25 51 12 28 -89 94 44 4a a2 a5 51 52 28 a9 94 54 4a 2a a5 -95 52 ca a9 e5 54 72 2a b9 95 dc ca ee e5 77 -72 bb b9 dd dc 6e ee 37 77 9b bb cd dd e6 6e -f3 37 79 9b bc cd de e6 ef f3 f7 79 fb bc fd -de 7e ef bf f7 5f fb 2f fd 97 7e cb bf 65 5f -32 2f 99 97 cc cb 66 65 b3 32 59 99 ac cc 56 -66 2b b3 15 59 8a ac c5 56 62 2b 31 15 18 8a -0c c5 06 62 83 31 c1 18 e0 0c 70 06 b8 83 5c -c1 ae e0 57 70 ab b8 55 5c aa ae d5 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zeros(301,301); - -for i = 1:301 - for j = 1:301 - d(i,j) = sqrt(a(1,i)^2+b(1,j)^2); - end -end - -d_linear = 0:424; - -lamda_10 = 100/log10(300); -lamda_e = 100/log(300); -sigma0 = 300; - -l0 = 0.1; - -learning = zeros(1,101); -for i = 1:101 - learning(1,i) = exp(-t(1,i)/100); -end - -sigma = zeros(1,101); -for i = 1:101 - sigma(1,i) = sigma0*exp(-t(1,i)/lamda_e); %e tabanưnda -end - -neighbourhood = zeros(425,101); -for i = 1:425 - for j = 1:101 - neighbourhood(i,j) = exp((-(d_linear(1,i))^2)/(2*(sigma(1,j))^2)); - end -end - -lnrate = zeros(425,101); -for i = 1:425 - for j = 1:101 - lnrate(i,j) = neighbourhood(i,j)*learning(1,j)*1000; - end -end - - - - - - diff --git a/Tools/omer (2).xlsx b/Tools/omer (2).xlsx deleted file mode 100644 index 0ca797b..0000000 Binary files a/Tools/omer (2).xlsx and /dev/null differ diff --git a/Tools/train4.csv b/Tools/train4.csv new file mode 100644 index 0000000..e3829f3 --- /dev/null +++ b/Tools/train4.csv @@ -0,0 +1,100 @@ +183,220,221 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