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* add tests for cam2image and showimage * use burger mode (-b) instead of movie for tests * add a frequency option to the cam2image program * transparent burgers * proper burger masking * windows * missing Windows include * fix warnings for Windows * warnings on Windows * fix signed/unsigned comparison warnings * fix Windows warnings
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,133 @@ | ||
| // Copyright 2016 Open Source Robotics Foundation, Inc. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| #ifdef _WIN32 | ||
| #include <Windows.h> // For GetTickCount(). | ||
| #endif | ||
|
|
||
| #include <cstring> | ||
| #include <cstdio> | ||
| #include <vector> | ||
|
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||
| #include "./burger.hpp" | ||
| #include "opencv2/imgproc/imgproc.hpp" | ||
|
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| using burger::Burger; // i've always wanted to write that | ||
|
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| #ifndef _WIN32 | ||
| #pragma GCC diagnostic push | ||
| #pragma GCC diagnostic ignored "-Wchar-subscripts" | ||
| #endif | ||
| // here lies the world's slowest portable base64 decoder | ||
| void decode_base64(const char * cstr, std::vector<uint8_t> & out) | ||
| { | ||
| int len = static_cast<int>(strlen(cstr)); | ||
| if (len < 2) { | ||
| return; // would have to think too hard about trivial inputs | ||
| } | ||
| out.resize(len * 3 / 4); // deal with padding bytes later | ||
| uint8_t base64_map[256] = {0}; | ||
| for (int i = 'A'; i <= 'Z'; i++) { | ||
| base64_map[i] = i - 'A'; | ||
| } | ||
| for (int i = 'a'; i <= 'z'; i++) { | ||
| base64_map[i] = i - 'a' + 26; | ||
| } | ||
| for (int i = '0'; i <= '9'; i++) { | ||
| base64_map[i] = i - '0' + 52; | ||
| } | ||
| base64_map['+'] = 62; | ||
| base64_map['/'] = 63; | ||
| int ridx = 0, widx = 0; | ||
| for (ridx = 0; ridx < len; ridx += 4) { | ||
| // we expand each group of 4 code bytes into 3 output bytes | ||
| uint32_t block = 0; | ||
| block = (base64_map[cstr[ridx]] << 18) | | ||
| (base64_map[cstr[ridx + 1]] << 12) | | ||
| (base64_map[cstr[ridx + 2]] << 6) | | ||
| (base64_map[cstr[ridx + 3]] << 0); | ||
| out[widx++] = (block >> 16) & 0xff; | ||
| out[widx++] = (block >> 8) & 0xff; | ||
| out[widx++] = (block >> 0) & 0xff; | ||
| } | ||
| // fix padding now. (these branches are untested so they're probably wrong) | ||
| if (cstr[len - 1] == '=' && cstr[len - 2] == '=') { | ||
| // there were two padding bytes. remove the two last output bytes | ||
| out.pop_back(); | ||
| out.pop_back(); | ||
| } else if (cstr[len - 1] == '=') { | ||
| // there was only one padding byte. remove the last output byte. | ||
| out.pop_back(); | ||
| } | ||
| } | ||
| #ifndef _WIN32 | ||
| #pragma GCC diagnostic pop | ||
| #endif | ||
|
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| Burger::Burger() | ||
| { | ||
| size_t burger_size = strlen(BURGER); | ||
| std::vector<uint8_t> burger_png; | ||
| burger_png.resize(burger_size); | ||
| decode_base64(BURGER, burger_png); | ||
| burger_template = cv::imdecode(burger_png, CV_LOAD_IMAGE_COLOR); | ||
| cv::floodFill(burger_template, cv::Point(1, 1), CV_RGB(1, 1, 1)); | ||
| cv::compare(burger_template, 1, burger_mask, cv::CMP_NE); | ||
| #ifndef _WIN32 | ||
| srand(time(NULL)); | ||
| #else | ||
| srand(GetTickCount()); | ||
| #endif | ||
| } | ||
|
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||
| cv::Mat & Burger::render_burger(size_t width, size_t height) | ||
| { | ||
| int width_i = static_cast<int>(width); | ||
| int height_i = static_cast<int>(height); | ||
| if (burger_buf.size().width != width_i || burger_buf.size().height != height_i) { | ||
| int num_burgers = rand() % 10 + 2; // NOLINT | ||
| x.resize(num_burgers); | ||
| y.resize(num_burgers); | ||
| x_inc.resize(num_burgers); | ||
| y_inc.resize(num_burgers); | ||
| for (int b = 0; b < num_burgers; b++) { | ||
| x[b] = rand() % (width - burger_template.size().width - 1); // NOLINT | ||
| y[b] = rand() % (height - burger_template.size().height - 1); // NOLINT | ||
| x_inc[b] = rand() % 3 + 1; // NOLINT | ||
| y_inc[b] = rand() % 3 + 1; // NOLINT | ||
| } | ||
| burger_buf = cv::Mat(height_i, width_i, CV_8UC3); | ||
| } | ||
| burger_buf = cvScalar(0, 0, 0); | ||
| for (int b = 0; b < static_cast<int>(x.size()); b++) { | ||
| burger_template.copyTo(burger_buf(cv::Rect( | ||
| x[b], | ||
| y[b], | ||
| burger_template.size().height, | ||
| burger_template.size().width | ||
| )), burger_mask); | ||
| x[b] += x_inc[b]; | ||
| y[b] += y_inc[b]; | ||
| // bounce as needed | ||
| if (x[b] < 0 || x[b] > width_i - burger_template.size().width - 1) { | ||
| x_inc[b] *= -1; | ||
| x[b] += 2 * x_inc[b]; | ||
| } | ||
| if (y[b] < 0 || y[b] > height_i - burger_template.size().height - 1) { | ||
| y_inc[b] *= -1; | ||
| y[b] += 2 * y_inc[b]; | ||
| } | ||
| } | ||
| return burger_buf; | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,44 @@ | ||
| // Copyright 2016 Open Source Robotics Foundation, Inc. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
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||
| #ifndef BURGER_HPP_ | ||
| #define BURGER_HPP_ | ||
|
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| #include <vector> | ||
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| #include "opencv2/highgui/highgui.hpp" | ||
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| namespace burger | ||
| { | ||
|
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| class Burger | ||
| { | ||
| public: | ||
| Burger(); | ||
| cv::Mat & render_burger(size_t width, size_t height); | ||
| cv::Mat burger_buf; | ||
|
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| private: | ||
| cv::Mat burger_template, burger_mask; | ||
| std::vector<int> x, y, x_inc, y_inc; | ||
| }; | ||
|
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| // THE FOLLOWING IS A BURGER IN AN AWESOME C BASE64 MACRO. RESPECT IT | ||
|
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| #define BURGER \ | ||
| "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" // NOLINT | ||
|
|
||
| } // namespace burger | ||
|
|
||
| #endif // BURGER_HPP_ |
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