Shape Detection: Add two content browser tests for face detection

content/browser/shapedetection/shapedetection_browsertest.cc

+// Copyright 2016 The Chromium Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style license that can be
+// found in the LICENSE file.
+
+#include "base/command_line.h"
+#include "base/strings/string_tokenizer.h"
+#include "content/public/common/content_switches.h"
+#include "content/public/test/browser_test_utils.h"
+#include "content/public/test/content_browser_test.h"
+#include "content/public/test/content_browser_test_utils.h"
+
+namespace content {
+
+// TODO(xianglu): Enable other platforms with support. https://crbug.com/646083
+#if defined(OS_ANDROID)
+#define MAYBE_DetectFacesOnImageWithNoFaces DetectFacesOnImageWithNoFaces
+#define MAYBE_DetectFacesOnImageWithOneFace DetectFacesOnImageWithOneFace
+#else
+#define MAYBE_DetectFacesOnImageWithNoFaces DISABLED_DetectFacesOnImageWithNoFaces
+#define MAYBE_DetectFacesOnImageWithOneFace DISABLED_DetectFacesOnImageWithOneFace

[ncarter (slow), 2016/10/20 21:39:31]

Might be simpler to do the DISABLED_ trick on the test fixture class, rather
than each individual test. Here's an example of that pattern:
https://cs.chromium.org/chromium/src/content/browser/webrtc/webrtc_browsertes...

+#endif
+
+namespace {
+
+const char kFaceDetectionTestHtml[] = "/media/face_detection_test.html";
+
+}  // namespace
+
+// This class contains content_browsertests for Shape Detection API, which
+// allows for generating bounding boxes for faces on still images..
+class ShapeDetectionBrowserTest : public ContentBrowserTest {
+ public:
+  void SetUpCommandLine(base::CommandLine* command_line) override {
+    // Specific flag to enable ShapeDetection and DOMRect API.
+    base::CommandLine::ForCurrentProcess()->AppendSwitchASCII(
+        switches::kEnableBlinkFeatures, "ShapeDetection, GeometryInterfaces");
+  }
+
+ protected:
+  void RunDetectFacesOnImageUrl(
+      const std::string& image_path,
+      const std::vector<std::vector<float>>& expected_results) {
+    ASSERT_TRUE(embedded_test_server()->Start());
+
+    const GURL html_url(embedded_test_server()->GetURL(kFaceDetectionTestHtml));
+    const GURL image_url(embedded_test_server()->GetURL(image_path));
+    NavigateToURL(shell(), html_url);
+    const std::string js_command =
+        "detectFacesOnImageUrl('" + image_url.spec() + "')";
+    std::string response_string;
+    ASSERT_TRUE(
+        ExecuteScriptAndExtractString(shell(), js_command, &response_string));
+
+    base::StringTokenizer outer_tokenizer(response_string, "#");
+    std::vector<std::vector<float>> results;
+    while (outer_tokenizer.GetNext()) {
+      std::string s = outer_tokenizer.token().c_str();
+      std::vector<float> res;
+      base::StringTokenizer inner_tokenizer(s, ",");
+      while (inner_tokenizer.GetNext())
+        res.push_back(atof(inner_tokenizer.token().c_str()));
+      results.push_back(res);
+    }
+
+    ASSERT_EQ(expected_results.size(), results.size()) << "Number of faces";
+    for (size_t face_id = 0; face_id < results.size(); ++face_id) {
+      const std::vector<float> expected_result = expected_results[face_id];
+      const std::vector<float> result = results[face_id];
+      for (size_t i = 0; i < 4; ++i)
+        EXPECT_NEAR(expected_result[i], result[i], 0.1) << "At index " << i;
+    }
+  }
+};
+
+IN_PROC_BROWSER_TEST_F(ShapeDetectionBrowserTest,
+                       MAYBE_DetectFacesOnImageWithNoFaces) {
+  const std::string image_path = "/blank.jpg";
+  const std::vector<std::vector<float>> expected_results;
+  RunDetectFacesOnImageUrl(image_path, expected_results);
+}
+
+IN_PROC_BROWSER_TEST_F(ShapeDetectionBrowserTest,
+                       MAYBE_DetectFacesOnImageWithOneFace) {
+  const std::string image_path = "/single_face.jpg";
+  const std::vector<float> expected_result = {68.640625, 102.96875, 171.5625,
+                                        171.5625};

[mcasas, 2016/10/20 18:27:40]

Nit: indent. (run `git cl format` before uploading).

+  const std::vector<std::vector<float>> expected_results = {expected_result};
+  RunDetectFacesOnImageUrl(image_path, expected_results);
+}
+
+}  // namespace content