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Commit 424d9dc4 authored by Harald Keller's avatar Harald Keller
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.ipynb_checkpoints/Filter_fpga_Driven-checkpoint.ipynb
View file @ 424d9dc4
%% Cell type:markdown id: tags:
## Greenfield implementation of Edge Filter
Streaming in pixel data in 3xRow format to be fed to filter kernel and produce an edgemap
%% Cell type:code id: tags:
``` python
from PIL import Image as img
from pynq import Overlay, allocate, Xlnk
import pynq.lib.dma
import numpy as np
import matplotlib.pyplot as plt
```
%% Output
%% Cell type:code id: tags:
``` python
arr_2d = np.array(img.open('lakemead_2004.jpg'))
(h,w) = arr_2d.shape
arr = np.reshape(arr_2d,(h*w))
print(arr_2d.shape)
print(arr.shape)
plt.imshow(arr_2d)
```
%% Output
(405, 540)
(218700,)
<matplotlib.image.AxesImage at 0xac7e5f70>
%% Cell type:code id: tags:
``` python
oly = Overlay('design_1.bit')
oly.download()
```
%% Cell type:code id: tags:
``` python
LEN = w
oly.edge_filter_0.write(0x10,LEN)
dma0 = oly.axi_dma_0
dma1 = oly.axi_dma_1
dma2 = oly.axi_dma_2
dma3 = oly.axi_dma_3
```
%% Cell type:code id: tags:
``` python
out_arr = []
for i in arr_2d[0:(len(arr_2d)-2)]:
in_ch0 = allocate(shape=(LEN,), dtype=np.int32)
in_ch1 = allocate(shape=(LEN,), dtype=np.int32)
in_ch2 = allocate(shape=(LEN,), dtype=np.int32)
op_ch0 = allocate(shape=(LEN,), dtype=np.int32)
in_ch0[:] = arr[i]
in_ch1[:] = arr[i+1]
in_ch2[:] = arr[i+2]
dma0.sendchannel.transfer(in_ch0)
dma1.sendchannel.transfer(in_ch1)
dma2.sendchannel.transfer(in_ch2)
oly.edge_filter_0.write(0x0,0x1)
dma3.recvchannel.start()
dma3.recvchannel.transfer(op_ch0)
dma0.sendchannel.wait()
dma1.sendchannel.wait()
dma2.sendchannel.wait()
out_arr.append(op_ch0)
del in_ch0
del in_ch1
del in_ch2
del op_ch0
```
%% Cell type:code id: tags:
``` python
img_sobel = (np.array(out_arr)).reshape(h-2,w)
```
%% Cell type:code id: tags:
``` python
plt.imshow(img_sobel.astype('uint8'))
```
%% Output
<matplotlib.image.AxesImage at 0xaca4ea10>
%% Cell type:markdown id: tags:
#### I now have an answer to why the DMAs were not working , we just need to remember to check the status 0x0,0x30 or shifter by 0x4 for readers.
#### The DMA controls and synchrniztion in Hostcode and Kernelcode should be properly handled
%% Cell type:markdown id: tags:
#### Now the filter logic seems to be weird Need to Fix that !!
%% Cell type:code id: tags:
``` python
```
......
Filter_fpga_Driven.ipynb
View file @ 424d9dc4
%% Cell type:markdown id: tags:
## Greenfield implementation of Edge Filter
Streaming in pixel data in 3xRow format to be fed to filter kernel and produce an edgemap
%% Cell type:code id: tags:
``` python
from PIL import Image as img
from pynq import Overlay, allocate, Xlnk
import pynq.lib.dma
import numpy as np
import matplotlib.pyplot as plt
```
%% Output
%% Cell type:code id: tags:
``` python
arr_2d = np.array(img.open('lakemead_2004.jpg'))
(h,w) = arr_2d.shape
arr = np.reshape(arr_2d,(h*w))
print(arr_2d.shape)
print(arr.shape)
plt.imshow(arr_2d)
```
%% Output
(405, 540)
(218700,)
<matplotlib.image.AxesImage at 0xac7e5f70>
%% Cell type:code id: tags:
``` python
oly = Overlay('design_1.bit')
oly.download()
```
%% Cell type:code id: tags:
``` python
LEN = w
oly.edge_filter_0.write(0x10,LEN)
dma0 = oly.axi_dma_0
dma1 = oly.axi_dma_1
dma2 = oly.axi_dma_2
dma3 = oly.axi_dma_3
```
%% Cell type:code id: tags:
``` python
out_arr = []
for i in arr_2d[0:(len(arr_2d)-2)]:
in_ch0 = allocate(shape=(LEN,), dtype=np.int32)
in_ch1 = allocate(shape=(LEN,), dtype=np.int32)
in_ch2 = allocate(shape=(LEN,), dtype=np.int32)
op_ch0 = allocate(shape=(LEN,), dtype=np.int32)
in_ch0[:] = arr[i]
in_ch1[:] = arr[i+1]
in_ch2[:] = arr[i+2]
dma0.sendchannel.transfer(in_ch0)
dma1.sendchannel.transfer(in_ch1)
dma2.sendchannel.transfer(in_ch2)
oly.edge_filter_0.write(0x0,0x1)
dma3.recvchannel.start()
dma3.recvchannel.transfer(op_ch0)
dma0.sendchannel.wait()
dma1.sendchannel.wait()
dma2.sendchannel.wait()
out_arr.append(op_ch0)
del in_ch0
del in_ch1
del in_ch2
del op_ch0
```
%% Cell type:code id: tags:
``` python
img_sobel = (np.array(out_arr)).reshape(h-2,w)
```
%% Cell type:code id: tags:
``` python
plt.imshow(img_sobel.astype('uint8'))
```
%% Output
<matplotlib.image.AxesImage at 0xaca4ea10>
%% Cell type:markdown id: tags:
#### I now have an answer to why the DMAs were not working , we just need to remember to check the status 0x0,0x30 or shifter by 0x4 for readers.
#### The DMA controls and synchrniztion in Hostcode and Kernelcode should be properly handled
%% Cell type:markdown id: tags:
#### Now the filter logic seems to be weird Need to Fix that !!
%% Cell type:code id: tags:
``` python
```
......
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