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Comsecandroidappcamera Bokeh Service. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data () # data shape is 64x2500 # snippet 2:
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Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. Data = get_data () # data shape is 64x2500 # snippet 2: In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white.
And in the second one, i cut down this signal into 5 chunks of 500 samples each.
Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data () # data shape is 64x2500 # snippet 2: In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500.
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Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz;
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Data = get_data () # data shape is 64x2500 # snippet 2: Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white.
Source: pinterest.com
Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data () # data shape is 64x2500 # snippet 2:
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And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data () # data shape is 64x2500 # snippet 2: Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white.
Source: pinterest.com
In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Data = get_data () # data shape is 64x2500 # snippet 2: Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each.
Source: pinterest.com
And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz;
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Data = get_data () # data shape is 64x2500 # snippet 2: Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white.
Source: pinterest.com
In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data () # data shape is 64x2500 # snippet 2: And in the second one, i cut down this signal into 5 chunks of 500 samples each.
Source: pinterest.com
Data = get_data () # data shape is 64x2500 # snippet 2: In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Data = get_data () # data shape is 64x2500 # snippet 2: And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500.
Source: pinterest.com
Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. And in the second one, i cut down this signal into 5 chunks of 500 samples each.
Source: in.pinterest.com
Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500.
Source: pinterest.com
And in the second one, i cut down this signal into 5 chunks of 500 samples each. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz;
Source: pinterest.com
And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data () # data shape is 64x2500 # snippet 2:
Source: pinterest.com
Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500.
Source: br.pinterest.com
In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data () # data shape is 64x2500 # snippet 2:
Source: in.pinterest.com
Data = get_data () # data shape is 64x2500 # snippet 2: And in the second one, i cut down this signal into 5 chunks of 500 samples each. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data () # data shape is 64x2500 # snippet 2:
Source: in.pinterest.com
And in the second one, i cut down this signal into 5 chunks of 500 samples each. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz; Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white.
Source: pinterest.com
Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Google photos can also make the subject of your photo pop by leaving them in color, while changing the background to black and white. Data = get_data ().reshape (64, 5, 500) # data shape is 64x5x500. And in the second one, i cut down this signal into 5 chunks of 500 samples each. In the first one, i consider a 2500 sample signal on 64 channels sampled at 500 hz;
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