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https://github.com/opencv/opencv.git
synced 2024-11-28 13:10:12 +08:00
Modify paddings computation for SAME pad mode
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7bb8d89ef3
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@ -125,7 +125,7 @@ public:
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inpShape.push_back(inputs[0].size[i]);
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outShape.push_back(outputs[0].size[i]);
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}
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getConvPoolPaddings(inpShape, outShape, kernel_size, strides, padMode, dilations, pads_begin, pads_end);
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getConvPoolPaddings(inpShape, kernel_size, strides, padMode, pads_begin, pads_end);
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if (pads_begin.size() == 2) {
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for (int i = 0; i < pads_begin.size(); i++) {
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if (pads_begin[i] != pads_end[i])
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@ -1257,7 +1257,7 @@ public:
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inpShape.push_back(inputs[0].size[i]);
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outShape.push_back(outputs[0].size[i]);
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}
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getConvPoolPaddings(outShape, inpShape, kernel_size, strides, padMode, dilations, pads_begin, pads_end);
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getConvPoolPaddings(outShape, kernel_size, strides, padMode, pads_begin, pads_end);
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if (pads_begin.size() == 2) {
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for (int i = 0; i < pads_begin.size(); i++) {
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if (pads_begin[i] != pads_end[i])
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@ -214,25 +214,25 @@ void getConvPoolOutParams(const std::vector<int>& inp, const std::vector<size_t>
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}
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}
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void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<int>& out,
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const std::vector<size_t>& kernel, const std::vector<size_t>& strides,
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const String &padMode, const std::vector<size_t>& dilation,
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void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<size_t>& kernel,
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const std::vector<size_t>& strides, const String &padMode,
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std::vector<size_t>& pads_begin, std::vector<size_t>& pads_end)
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{
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if (padMode == "VALID")
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if (padMode == "SAME" || padMode == "VALID")
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{
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pads_begin.assign(kernel.size(), 0);
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pads_end.assign(kernel.size(), 0);
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}
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else if (padMode == "SAME")
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if (padMode == "SAME")
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{
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CV_Assert_N(kernel.size() == dilation.size(), kernel.size() == strides.size(),
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kernel.size() == inp.size(), kernel.size() == out.size());
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pads_begin.resize(kernel.size());
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pads_end.resize(kernel.size());
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CV_Assert_N(kernel.size() == strides.size(), kernel.size() == inp.size());
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for (int i = 0; i < pads_begin.size(); i++) {
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int pad = ((out[i] - 1) * strides[i] + dilation[i] * (kernel[i] - 1) + 1 - inp[i]) / 2;
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pads_begin[i] = pads_end[i] = std::max(0, pad);
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// There are test cases with stride > kernel.
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if (strides[i] <= kernel[i])
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{
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int pad = (kernel[i] - 1 - (inp[i] - 1 + strides[i]) % strides[i]) / 2;
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pads_begin[i] = pads_end[i] = pad;
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}
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}
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}
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}
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@ -69,9 +69,8 @@ void getConvPoolOutParams(const std::vector<int>& inp, const std::vector<size_t>
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const std::vector<size_t>& stride, const String &padMode,
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const std::vector<size_t>& dilation, std::vector<int>& out);
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void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<int>& out,
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const std::vector<size_t>& kernel, const std::vector<size_t>& strides,
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const String &padMode, const std::vector<size_t>& dilation,
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void getConvPoolPaddings(const std::vector<int>& inp, const std::vector<size_t>& kernel,
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const std::vector<size_t>& strides, const String &padMode,
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std::vector<size_t>& pads_begin, std::vector<size_t>& pads_end);
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}
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}
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@ -143,7 +143,7 @@ public:
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kernel_size = std::vector<size_t>(inp.begin(), inp.end());
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}
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getConvPoolPaddings(inp, out, kernel_size, strides, padMode, std::vector<size_t>(kernel_size.size(), 1), pads_begin, pads_end);
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getConvPoolPaddings(inp, kernel_size, strides, padMode, pads_begin, pads_end);
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if (pads_begin.size() == 2) {
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pad_t = pads_begin[0];
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pad_l = pads_begin[1];
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