pytorch/caffe2/operators/bbox_transform_op.h
Shai Szulanski 0ddaaf6a92 [codemod][caffe2] Run clang-format - 5/7
Summary:
This directory is opted-in to clang-format but is not format-clean. This blocks continuous formatting from being enabled on fbcode, and causes hassle for other codemods that leave inconsistent formatting. This diff runs clang-format, which is widely used and considered safe.

If you are unhappy with the formatting of a particular block, please *accept this diff* and then in a stacked commit undo the change and wrap that code in `// clang-format off` and `// clang-format on`, or `/* clang-format off */` and `/* clang-format on */`.

drop-conflicts

Test Plan: sandcastleit

Reviewed By: jerryzh168

Differential Revision: D22311706

fbshipit-source-id: 1ca59a82e96156a4a5dfad70ba3e64d44c5e762a
2020-06-30 15:45:11 -07:00

74 lines
2.6 KiB
C++

// Copyright 2004-present Facebook. All Rights Reserved.
#ifndef BBOX_TRANSFORM_OP_H_
#define BBOX_TRANSFORM_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(BBoxTransform)
namespace caffe2 {
template <typename T, class Context>
class BBoxTransformOp final : public Operator<Context> {
public:
template <class... Args>
explicit BBoxTransformOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
weights_(this->template GetRepeatedArgument<T>(
"weights",
vector<T>{1.0f, 1.0f, 1.0f, 1.0f})),
apply_scale_(
this->template GetSingleArgument<bool>("apply_scale", true)),
rotated_(this->template GetSingleArgument<bool>("rotated", false)),
angle_bound_on_(
this->template GetSingleArgument<bool>("angle_bound_on", true)),
angle_bound_lo_(
this->template GetSingleArgument<int>("angle_bound_lo", -90)),
angle_bound_hi_(
this->template GetSingleArgument<int>("angle_bound_hi", 90)),
clip_angle_thresh_(
this->template GetSingleArgument<float>("clip_angle_thresh", 1.0)),
legacy_plus_one_(
this->template GetSingleArgument<bool>("legacy_plus_one", true)) {
CAFFE_ENFORCE_EQ(
weights_.size(),
4,
"weights size " + c10::to_string(weights_.size()) + "must be 4.");
}
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override;
protected:
// weights [wx, wy, ww, wh] to apply to the regression target
vector<T> weights_;
// Transform the boxes to the scaled image space after applying the bbox
// deltas.
// Set to false to match the detectron code, set to true for the keypoint
// model and for backward compatibility
bool apply_scale_{true};
// Set for RRPN case to handle rotated boxes. Inputs should be in format
// [ctr_x, ctr_y, width, height, angle (in degrees)].
bool rotated_{false};
// If set, for rotated boxes in RRPN, output angles are normalized to be
// within [angle_bound_lo, angle_bound_hi].
bool angle_bound_on_{true};
int angle_bound_lo_{-90};
int angle_bound_hi_{90};
// For RRPN, clip almost horizontal boxes within this threshold of
// tolerance for backward compatibility. Set to negative value for
// no clipping.
float clip_angle_thresh_{1.0};
// The infamous "+ 1" for box width and height dating back to the DPM days
bool legacy_plus_one_{true};
};
} // namespace caffe2
#endif // BBOX_TRANSFORM_OP_H_