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49 lines
1.1 KiB
C
49 lines
1.1 KiB
C
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// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_PAD_H
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#define MMDEPLOY_PAD_H
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#include "core/tensor.h"
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#include "transform.h"
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namespace mmdeploy {
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class PadImpl : public TransformImpl {
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public:
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explicit PadImpl(const Value& args);
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~PadImpl() override = default;
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Result<Value> Process(const Value& input) override;
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protected:
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// pad on all sides with specified padding mode
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// @param padding: Padding on each border in clock-wise (left, top, right,
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// bottom)
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virtual Result<Tensor> PadImage(const Tensor& img, const std::array<int, 4>& padding) = 0;
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protected:
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struct pad_arg_t {
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std::array<int, 2> size;
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int size_divisor;
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float pad_val;
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bool pad_to_square;
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std::string padding_mode;
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};
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using ArgType = struct pad_arg_t;
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ArgType arg_;
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};
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class Pad : public Transform {
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public:
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explicit Pad(const Value& args, int version = 0);
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~Pad() override = default;
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Result<Value> Process(const Value& input) override { return impl_->Process(input); }
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protected:
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std::unique_ptr<PadImpl> impl_;
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};
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} // namespace mmdeploy
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#endif // MMDEPLOY_PAD_H
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