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DeeJanuz--frametop/hands/models/ncnn/hand-int8.ncnn.param
T
DeeJanuzandClaude Opus 5.5 1a76d1560b Bring in frame-hands' hand tracking under hands/ 
The history of frame-hands (~/Desktop/Projects/frame-hands on the
Frame), filtered to what moves: the camera broker (camd/), the tracker
and its offline tools (trackd/), the shared file layouts (include/), the
ncnn models, the analysis tools, and the calibration and model helpers
they import from the Python prototype. The reverse-engineering notes,
probes, camprobe, and the rest of the prototype stay in frame-hands.
Unchanged here: the renames to ft- names and Frametop paths follow.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-09-30 08:59:32 -06:00

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Input in0 0 1 in0
Convolution convclip_0 1 1 in0 2 0=24 1=3 3=2 15=1 16=1 5=1 6=648 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_0 1 1 2 3 0=24 1=3 4=1 5=1 6=216 7=24 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_10 1 1 3 4 0=16 1=1 5=1 6=384 8=2
Split splitncnn_0 1 2 4 5 6
Convolution convclip_1 1 1 6 7 0=64 1=1 5=1 6=1024 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_1 1 1 7 8 0=64 1=3 3=2 15=1 16=1 5=1 6=576 7=64 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_12 1 1 8 9 0=16 1=1 5=1 6=1024 8=2
Pooling maxpool2d_1 1 1 5 10 1=2 2=2 5=1
BinaryOp add_0 2 1 9 10 11
Split splitncnn_1 1 2 11 12 13
Convolution convclip_2 1 1 13 14 0=96 1=1 5=1 6=1536 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_2 1 1 14 15 0=96 1=3 4=1 5=1 6=864 7=96 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_14 1 1 15 16 0=16 1=1 5=1 6=1536 8=2
BinaryOp add_1 2 1 16 12 17
Convolution convclip_3 1 1 17 18 0=96 1=1 5=1 6=1536 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_3 1 1 18 19 0=96 1=5 3=2 4=1 15=2 16=2 5=1 6=2400 7=96 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_16 1 1 19 20 0=24 1=1 5=1 6=2304 8=2
Split splitncnn_2 1 2 20 21 22
Convolution convclip_4 1 1 22 23 0=144 1=1 5=1 6=3456 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_4 1 1 23 24 0=144 1=5 4=2 5=1 6=3600 7=144 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_18 1 1 24 25 0=24 1=1 5=1 6=3456 8=2
BinaryOp add_2 2 1 25 21 26
Convolution convclip_5 1 1 26 27 0=144 1=1 5=1 6=3456 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_5 1 1 27 28 0=144 1=3 3=2 15=1 16=1 5=1 6=1296 7=144 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_20 1 1 28 29 0=48 1=1 5=1 6=6912 8=2
Split splitncnn_3 1 2 29 30 31
Convolution convclip_6 1 1 31 32 0=288 1=1 5=1 6=13824 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_6 1 1 32 33 0=288 1=3 4=1 5=1 6=2592 7=288 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_22 1 1 33 34 0=48 1=1 5=1 6=13824 8=2
BinaryOp add_3 2 1 34 30 35
Split splitncnn_4 1 2 35 36 37
Convolution convclip_7 1 1 37 38 0=288 1=1 5=1 6=13824 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_7 1 1 38 39 0=288 1=3 4=1 5=1 6=2592 7=288 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_24 1 1 39 40 0=48 1=1 5=1 6=13824 8=2
BinaryOp add_4 2 1 40 36 41
Convolution convclip_8 1 1 41 42 0=288 1=1 5=1 6=13824 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_8 1 1 42 43 0=288 1=5 4=2 5=1 6=7200 7=288 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_26 1 1 43 44 0=64 1=1 5=1 6=18432 8=2
Split splitncnn_5 1 2 44 45 46
Convolution convclip_9 1 1 46 47 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_9 1 1 47 48 0=384 1=5 4=2 5=1 6=9600 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_28 1 1 48 49 0=64 1=1 5=1 6=24576 8=2
BinaryOp add_5 2 1 49 45 50
Split splitncnn_6 1 2 50 51 52
Convolution convclip_10 1 1 52 53 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_10 1 1 53 54 0=384 1=5 4=2 5=1 6=9600 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_30 1 1 54 55 0=64 1=1 5=1 6=24576 8=2
BinaryOp add_6 2 1 55 51 56
Convolution convclip_11 1 1 56 57 0=384 1=1 5=1 6=24576 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_11 1 1 57 58 0=384 1=5 3=2 4=1 15=2 16=2 5=1 6=9600 7=384 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_32 1 1 58 59 0=112 1=1 5=1 6=43008 8=2
Split splitncnn_7 1 2 59 60 61
Convolution convclip_12 1 1 61 62 0=672 1=1 5=1 6=75264 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_12 1 1 62 63 0=672 1=5 4=2 5=1 6=16800 7=672 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_34 1 1 63 64 0=112 1=1 5=1 6=75264 8=2
BinaryOp add_7 2 1 64 60 65
Split splitncnn_8 1 2 65 66 67
Convolution convclip_13 1 1 67 68 0=672 1=1 5=1 6=75264 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_13 1 1 68 69 0=672 1=5 4=2 5=1 6=16800 7=672 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_36 1 1 69 70 0=112 1=1 5=1 6=75264 8=2
BinaryOp add_8 2 1 70 66 71
Split splitncnn_9 1 2 71 72 73
Convolution convclip_14 1 1 73 74 0=672 1=1 5=1 6=75264 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_14 1 1 74 75 0=672 1=5 4=2 5=1 6=16800 7=672 8=101 9=3 -23310=2,0.000000e+00,6.000000e+00
Convolution conv_38 1 1 75 76 0=112 1=1 5=1 6=75264 8=2
BinaryOp add_9 2 1 76 72 77
Convolution convclip_15 1 1 77 78 0=672 1=1 5=1 6=75264 8=102 9=3 -23310=2,0.000000e+00,6.000000e+00
ConvolutionDepthWise convdwclip_15 1 1 78 79 0=672 1=3 4=1 5=1 6=6048 7=672 8=1 9=3 -23310=2,0.000000e+00,6.000000e+00
Pooling gap_0 1 1 79 80 0=1 4=1
Reshape reshape_45 1 1 80 81 0=1 1=1 2=-1
Squeeze squeeze_78 1 1 81 82 -23303=2,1,2
Split splitncnn_10 1 4 82 83 84 85 86
InnerProduct linear_42 1 1 84 out0 0=63 1=1 2=42336 8=2
InnerProduct linear_43 1 1 83 out3 0=63 1=1 2=42336 8=2
InnerProduct fcsigmoid_0 1 1 85 out2 0=1 1=1 2=672 8=2 9=4
InnerProduct fcsigmoid_1 1 1 86 out1 0=1 1=1 2=672 8=2 9=4
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