718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
65 lines
2.5 KiB
Markdown
65 lines
2.5 KiB
Markdown
## net.param
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### example
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```
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7767517
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3 3
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Input input 0 1 data 0=4 1=4 2=1
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InnerProduct ip 1 1 data fc 0=10 1=1 2=80
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Softmax softmax 1 1 fc prob 0=0
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```
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### overview
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```
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[magic]
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```
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* magic number : 7767517
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```
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[layer count] [blob count]
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```
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* layer count : count of the layer line follows, should be exactly the count of all layer names
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* blob count : count of all blobs, usually greater than or equals to the layer count
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### layer line
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```
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[layer type] [layer name] [input count] [output count] [input blobs] [output blobs] [layer specific params]
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```
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* layer type : type name, such as Convolution Softmax etc
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* layer name : name of this layer, must be unique among all layer names
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* input count : count of the blobs this layer needs as input
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* output count : count of the blobs this layer produces as output
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* input blobs : name list of all the input blob names, separated by space, must be unique among input blob names of all layers
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* output blobs : name list of all the output blob names, separated by space, must be unique among output blob names of all layers
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* layer specific params : key=value pair list, separated by space
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### layer param
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```
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0=1 1=2.5 -23303=2,2.0,3.0
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```
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key index should be unique in each layer line, pair can be omitted if the default value used
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the meaning of existing param key index can be looked up at [operation-param-weight-table](operation-param-weight-table)
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* integer or float key : index 0 ~ 19
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* integer value : int
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* float value : float
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* integer array or float array key : -23300 minus index 0 ~ 19
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* integer array value : [array size],int,int,...,int
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* float array value : [array size],float,float,...,float
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## net.bin
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```
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+---------+---------+---------+---------+---------+---------+
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| weight1 | weight2 | weight3 | weight4 | ....... | weightN |
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+---------+---------+---------+---------+---------+---------+
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^ ^ ^ ^
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0x0 0x80 0x140 0x1C0
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```
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the model binary is the concatenation of all weight data, each weight buffer is aligned by 32bit
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### weight buffer
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```
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[flag] (optional)
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[raw data]
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[padding] (optional)
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```
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* flag : unsigned int, little-endian, indicating the weight storage type, 0 => float32, 0x01306B47 => float16, otherwise => quantized int8, may be omitted if the layer implementation forced the storage type explicitly
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* raw data : raw weight data, little-endian, float32 data or float16 data or quantized table and indexes depending on the storage type flag
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* padding : padding space for 32bit alignment, may be omitted if already aligned
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